Robotic Process Automation(RPA) Executive

Robotic Process Automation(RPA) Executive


We are looking for Robotic process Automation(RPA) engineer- having experience in Automation tool preferably Automation Anywhere(AA)
Looking for somebody who can join on immediate basis
This opening is permanent with Future Focus for Our client CMM level 5 company
1 to 3 years of IT experience and having good understanding of programming concepts. Should be from a programming background on any coding language (preferably .Net).
Minimum of 1 process automation, using one of the industry leading Robotics Automation Product.
Good understanding of Process Design documents, Technical
Should be trained on RPA tools (Blue Prism/ Automation Anywhere).
Salary: INR 6,00,000 – 10,00,000 P.A

Industry: IT-Software / Software Services

Functional Area: IT Software – Application Programming , Maintenance

Role Category: Programming & Design

Role: Software Developer

Java Developer

Java Developer

Job Description
 3-4 years experience in Java-J2EE Development
 Extensive technical experience and development expertise in Core Java, J2EE, JSP, Servlets, Struts, Webservices, Spring, Hibernate, Java Script, JQuery and AJAX.
 Demonstrate strong written and oral communication skills.
 Hands on experience in Tomcat and Weblogic/Websphere servers
 Must have handled complex application debugging / impact analysis / root cause analysis etc
 Must have handled requirement analysis / design etc
 Interested candidates please send your resume with the following details mandatory:

Total Exp:
 Current CTC:
 Available for F2F Discussion in weekdays(Y/N):

 HR Executive
Senior Software Developer / Team Lead ( 1-5 Years)

Senior Software Developer / Team Lead ( 1-5 Years)

    The Engineer /Lead is responsible for implementing Web Applications and Web Real-time Communication in house and customer product. The experienced skills expected are HTML5, CSS, Javascript, JQuery (Mobile), MangoDB and NodeJS. The certification in MEAN and on the Job product development experience using MEAN technology will be preferred. The communication skills in open sources such as Kamailio, Freeswitch, Asterisk, WebRTC, Jitsi is preferred but not mandatory. Immediate Joining will be an asset..

Salary: INR 3,00,000 P.A

Industry: IT-Software/ Software Services

Functional Area: IT Software – Application Programming , Maintenance

Role Category: Programming & Design

Role: Software Developer



A blockchain is a developing rundown of records, called blocks, that are safely connected together utilizing cryptography.[1][2][3][4] Each square contains a cryptographic hash of the past square, a timestamp, and exchange information (by and large addressed as a Merkle tree, where information hubs are addressed by leafs). The timestamp demonstrates that the exchange information existed when the square was distributed to get into its hash. As squares each contain data about the square past to it, they structure a chain, with each extra square supporting the ones preceding it. Accordingly, blockchains are impervious to adjustment of their information in light of the fact that once recorded, the information in some random square can’t be modified retroactively without changing every ensuing square


Blockchains are regularly overseen by a shared organization for use as a freely appropriated record, where hubs all things considered stick to a convention to impart and approve new squares. Despite the fact that blockchain records are not unalterable as forks are conceivable, blockchains might be thought of as secure by plan and embody a disseminated processing framework with high Byzantine shortcoming tolerance.[5]

The blockchain was advocated by an individual (or gathering) involving the name Satoshi Nakamoto in 2008 to act as the public exchange record of the cryptographic money bitcoin, in view of work by Stuart Haber, W. Scott Stornetta, and Dave Bayer.[3][6] The personality of Satoshi Nakamoto stays obscure to date. The execution of the blockchain inside bitcoin made it the primary advanced cash to take care of the twofold spending issue without the need of a confided in power or focal server. The bitcoin configuration has enlivened other applications[3][2] and blockchains that are coherent by people in general and are broadly utilized by digital currencies. The blockchain is viewed as a sort of installment rail.[7]

Private blockchains have been proposed for business use. Computerworld called the promoting of such privatized blockchains without an appropriate security model “snake oil”;[8] in any case, others have contended that permissioned blockchains, if painstakingly planned, might be more decentralized and thusly safer practically speaking than permissionless ones.

A blockchain is a decentralized, conveyed, and generally open, computerized record comprising of records called blocks that are utilized to record exchanges across numerous PCs so that any elaborate square can’t be adjusted retroactively, without the change of all resulting blocks.[3][18] This permits the members to check and review exchanges freely and moderately inexpensively.[19] A blockchain information base is overseen independently utilizing a shared organization and an appropriated timestamping server. They are validated by mass joint effort fueled by aggregate self-interests.[20] Such a plan works with strong work process where members’ vulnerability it is minor to respect information security. The utilization of a blockchain eliminates the attribute of endless reproducibility from an advanced resource. It affirms that every unit of significant worth was moved just a single time, tackling the well established issue of twofold spending. A blockchain has been depicted as a worth trade protocol.[21] A blockchain can keep up with title privileges since, when appropriately set up to detail the trade arrangement, it gives a record that constrains proposition and acknowledgment.

Legitimately, a blockchain should be visible as comprising of a few layers:[22]

foundation (equipment)
organizing (hub disclosure, data propagation[23] and confirmation)
agreement (evidence of work, verification of stake)
information (blocks, exchanges)
application (shrewd agreements/decentralized applications, if pertinent)



As humans we are lazy and we tend to get bored repetitive and menial tasks. During the last few years, Robotic process automation (RPA) has emerged as one of the most innovative and disruptive technology… which companies can leverage to save time, money, and resources through the automation of back offices processes and repetitive, menial tasks.
Yet, even with all the buzz surrounding the widespread deployment of RPA across a number of industries, a number of misconceptions still abound about RPA and how it can streamline a company’s operational platform and enhance overall productivity.

These misunderstandings about how RPA works, its impact on companies and their employees, and the future evolution of this technology can create uncertainty and even fear for companies looking to revolutionize their back office strategies and facilitate a more lean value chain.
For any technology there are always advantages/dis-advantages associated with it. People or companies need to overcome this dis-advantages and be the pioneers in this Robotic Process Automation to be lean and more productive/ Effective.

Though there are many players/tools trying to grab the market, for now this tools(Automation Anywhere, BluePrism & UI path have more market share compared to others.
If you are planning to learning RPA/ any of this tools, you can reach us (we do this both class room training as well as online for the people who are away and could not commute to our location)
We wish you great opportunities ahead.

What is RPA ?

  • Robotic process automation (RPA) is the application of technology that allows employees in a company to configure computer software or a “robot” to capture and interpret existing applications for processing a transaction, manipulating data, triggering responses and communicating with other digital systems.
  • Just as industrial robots are remaking the manufacturing industry by creating higher production rates and improved quality, RPA “robots” are revolutionizing the way we think about and administer business processes, IT support processes, workflow processes, remote infrastructure and back-office work. RPA provides dramatic improvements in accuracy and cycle time and increased productivity in transaction processing while it elevates the nature of work by removing people from dull, repetitive tasks.
  • The technology of RPA can be applied specifically to a wide range of industries.
  • 2000+ Jobs available on RPA, get more details on job portals
  • Some companies hiring RPA professionals are EMC, Oracle, Accenture, HP, TCS, WIPRO, CapGemini, L&T and Shell etc.
  • Professionals will have 50% more earning potential compared to other technologies
  • You will be trained on RPA tools, Real world case studies and projects.
  • Presentation on RPA
  • RPA Explaination
  • Take this test, if you want to join this course


Man-made brainpower (AI) carries with it a guarantee of veritable human-to-machine collaboration. Whenever machines become canny, they can figure out demands, associate pieces of information and reach determinations. : Leaving for an excursion for work tomorrow? Your smart gadget will naturally offer climate projections and travel cautions for your objective city. Arranging a huge birthday festivity? Your brilliant bot will assist with solicitations, reserve a spot and remind you to get the cake. Arranging an immediate promoting effort? Your AI collaborator can intuitively section your clients into bunches for designated informing and expanded reaction rates. Obviously, we’re not discussing automated head servants. This is certifiably not a Hollywood film. Yet, we are at another degree of discernment in the man-made brainpower field that has become genuinely helpful in our lives. However, it all makes sense to us. You’re actually confounded about how this multitude of points – AI, AI and profound learning – relate. You’re in good company. What’s more, we need to help.

The historical backdrop of AI and AI
So where did AI come from? All things considered, it didn’t jump from single-player chess games straight into self-driving vehicles. The field has a long history established in military science and insights, with commitments from reasoning, brain research, math and mental science. Man-made brainpower initially set off to make PCs more helpful and more equipped for autonomous thinking.

Most history specialists follow the introduction of AI to a Dartmouth research project in 1956 that investigated themes like critical thinking and representative strategies. During the 1960s, the US Department of Defense checked out this sort of work and expanded the attention on preparing PCs to emulate human thinking.

For instance, the Defense Advanced Research Projects Agency (DARPA) finished road planning projects during the 1970s. Also, DARPA created astute individual collaborators in 2003, some time before Google, Amazon or Microsoft handled comparative ventures.


Man-made brainpower and Machine Learning

While AI is the wide study of impersonating human capacities, AI is a particular subset of AI that prepares a machine how to learn. Watch this video to more readily comprehend the connection among AI and AI. You’ll perceive the way these two advancements work, with models and a couple of amusing asides.

Play Video
AI and profound learning are subfields of AI
All in all, man-made reasoning contains numerous subfields, including:

AI mechanizes scientific model structure. It utilizes strategies from brain organizations, measurements, tasks exploration and physical science to track down secret bits of knowledge in information without being expressly modified where to look for sure to finish up.
A brain network is a sort of AI motivated by the activities of the human mind. It’s a registering framework comprised of interconnected units (like neurons) that processes data by answering outer sources of info, transferring data between every unit. The interaction requires various passes at the information to track down associations and determine

Computerized reasoning applies AI, profound learning and different procedures to take care of genuine issues.
How large information in addition to AI delivered brilliant applications
Recollect the large information hype a couple of years prior? What was going on with that? Headways in PC handling and information stockpiling made it conceivable to ingest and examine more information than any other time in recent memory. Around similar time, we began delivering an ever increasing number of information by interfacing more gadgets and machines to the web and streaming a lot of information from those gadgets.

With more language and picture inputs into our gadgets, PC discourse and picture acknowledgment moved along. Similarly, AI had substantially more data to gain from.

These headways carried man-made reasoning nearer to its unique objective of making wise machines, which we’re beginning to see increasingly more in our regular day to day existences. From proposals on our number one retail locales to auto created photograph labels via web-based entertainment, numerous normal web-based comforts are fueled by man-made consciousness.

The Rain Gods Had

The rain gods had been smiling the whole night. The roads were muddy and the
potholes were filled to the brim. It was the day for the market and Raju the farmer
was riding his cart along the country road. He had to reach the market early so
that he can sell his hay. It was very difficult for the horses to drag the load through
the deep mud. On his journey suddenly the wheels of the horse cart sank into the
The more the horses pulled, the deeper the wheel sank. Raju climbed down from
his seat and stood beside his cart. He searched all around but could not find
anyone around to help him. Cursing his bad luck, he looked dejected and
defeated. He didn’t make the slightest effort to get down on the wheel and lift it up
by himself. Instead, he started cursing his luck for what happened. Looking up at
the sky, he started shouting at God, “I am so unlucky! Why has this happened to
me? Oh God, come down to help me.”
After a long wait, God finally appeared before Raju. He asked Raju, “Do you think
you can move the chariot by simply looking at it and whining about it? Nobody will
help you unless you make some effort to help yourself. Did you try to get the
wheel out of the pothole by yourself? Get up and put your shoulder to wheel and
you will soon find the way out.”
Raju was ashamed of himself. He bent down and put his shoulder to the wheel
and urged on the horses. In no time the wheel was out of the mire. Raju learned
his lesson. He thanked God and carried on his journey happily.
Moral: God helps those who help themselves.

The Farmer and the Donkey

One day a farmer’s donkey fell down into a well. The animal cried piteously for
hours as the farmer tried to figure out what to do. Finally, he decided the animal
was old, and the well needed to be covered up anyway-it just wasn’t worth it to
retrieve the donkey.
He invited all of his neighbours to come over and help him. They all grabbed a
shovel and began to shovel dirt into the well. At first, the donkey realized what was
happening and cried horribly. Then, to everyone’s amazement, he quieted down.
A few shovel loads later, the farmer finally looked down the well. He was
astonished at what he saw. With each shovel of dirt that hit his back, the donkey
was doing something amazing. He would shake it off and take a step up.
As the farmer’s neighbours continued to shovel dirt on top of the animal, he would
shake it off and take a step up. Pretty soon, everyone was amazed as the donkey
stepped up over the edge of the well and happily trotted off!
Life is going to shovel dirt on you, all kinds of dirt. The trick to getting out of the
well is to shake it off and take a step up. Each of our troubles are stepping stones.
We can get out of the deepest wells just by not stopping, never giving up! Shake it
off, and take a step up.


A young man asked socrates the secret to success. Socrates told the young man
to meet him near the river the next morning. They met. Socrates asked the young
man to walk with him towards the river. When the water got up to their neck,
Socrates took the young man by surprise and ducked him into the water. The boy
struggled to get out but Socrates was strong and kept him there until the boy
started turning blue. Socrates pulled his head out of the water and the first thing
the young man did was to gasp and take a deep breath of air. Socrates asked,
‘What did you want the most when you were there?” The boy replied, “Air.”
Socrates said, “That is the secret to success. When you want success as badly as
you wanted the air, then you will get it.” There is no other secret.
A burning desire is the starting point of all accomplishment. Just like a small fire
cannot give much heat, a weak desire cannot produce great results.