About Me
- Name: Gangadhara Naga Sai
- Location: Bengaluru, India
- Phone: +91 8281665486
- Email: gangadhara691@gmail.com
What I Believe ?
"Soon end of programming a computer will come, leading to a new era of Self Learning"
I am focused in exploring deep into AI and Robotics to develop a super intelligent system. As the technology is growing exponentially,it will cause a rise of Artificial General Intelligence diving into industry 5.0, which will enhance our lives by optimizing and discovering new solutions for the problems we face. It will encourage humans to be better at what they can do and machines to be best at what they can do. The initial steps would be automating all the tasks that are repetitive and boring, leaving creative and judgemental tasks to humans.
I strongly believe soon there is going to be robotic revolution and AI explosion in human lives, I want to be a part of it by
making people accept robots not as mere machines, but as life supporters in our daily lives.
Areas that grab my interest:
- Artificial General Intelligence
- Evolution of Intelligence
- Machine Learning
- Cognitive Neuroscience
- Robotics
- Artificial Life
Reinforcement
Experience
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May 2018
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PresentAssociate Consultant | Chatbot Developer
Capgemini, Bangalore, India•Banking Bot(IBM Watson):Building a smart chatbot for helpdesk, using IBM Watson Knowledge studio & NLU Watson services.
•Voice Assistant – Google Dialogflow
Built for one of the Largest Tire Retailer in N.A. It is showcased in the Google Cloud Next '19 Talk ( http://bit.do/DTVA ). Integrations done in voice platforms like Google Home and Amazon Alexa to address their queries and book appointments for client. business services
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July 2016
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May 2018SENIOR ANALYST | Chatbot Developer
Capgemini, Bangalore, India•Intelligent Claims Chatbot – MS Azure BotFramework
Built for one of the Large Insurance Company In N.A. Helps in the resolution of customer queries around insurance domain subjects of claims processing, payments, and claims adjudication. Implementation of the solution was done using Microsoft’s Azure cloud platform, LUIS, QnAMaker, MS Bot Framework and libraries of Python and Node js. -
2012-2016
Senior Executive Member
Robotics Interest Group (RIG)
NIT calicutSep 2012 – May 2016| NIT Calicut| EXECUTIVE MEMBER
• Achieved all India 24th position in international event ABU ROBOCON’14 with team RIG.
I was a key menber in bulding the child robot for the theme "A Salute to Parenthood", i mainly worked on HS-7955TG High Torque, Titanium Gear Servos and its controls and helped to build the pneumatic gripper for parent robot to carry the child robot.
• Senior Executive of RIG’s Robotics Exhibition during Tathva -2014 (Technical Fest).
• Organized exhibitions of our team’s projects in international conference COPEN 2013 held at NIT Calicut.
Education
Skills
Programming
MACHINE LEARNING
DATA VISUALIZATION
SOFTWARE PACKAGES
MODELING
DATABASE
Projects And Certificates
- all
- Robotics NanoDegree (Udacity-RoboND)
- Data Analyst NanoDegree (Udacity-DAND)
- UG Projects
- Certificates
- Internships
SEARCH, SAMPLE AND RETURN
Aug 2017 – Sep 2017 | Udacity - RoboND | View Project
Wrote a computer vision pipeline (using Python and OpenCV) to perform color thresholding, as well as perspective and coordinate transforms to complete the task of autonomous mapping and navigation in a simulated (Unity) environment.
ROBOTIC ARM - PICK AND PLACE
Sep 2017 – Oct 2017 | Udacity - RoboND | View Project
- Solved the Inverse Kinematics problem for a six degree-of-freedom robotic arm (Kuka KR210) in a simulated environment to complete a pick-and-place operation. (Implemented using ROS, Gazebo and RViz).
3D PERCEPTION
Oct 2017 – Nov 2017 | Udacity - RoboND | View Project
- The Created a perception pipeline to perform object recognition then successfully completed a tabletop pick and place operation using a PR2 robot in simulation.
FOLLOW ME – DEEP LEARNING
Nov 2017 – Jan 2018 | Udacity - RoboND| View Project
- In this project, I have built a segmentation network, trained it, validated it, and deployed it. The main aim is to design and train a fully convolutional neural network (FCN) such that a drone can recognize a particular person and follow him/her. In the end, we can see drone tracking and following a single hero target using a network pipeline.
OPENSTREETMAP DATA WRANGLING WITH MONGODB
Feb 2017 – March 2017 | Udacity | View Project
- I chose these two maps Hoodi,Bengaluru and tokyo,Bunkyo.I really wanted to explore differences between the regions.
- Used data munging techniques to assess the quality of the data for validity, accuracy, completeness, consistency and uniformity.
- Used Element Tree to parse the OSM file which had lots of inconsistencies in the dataset, abbreviations, lowercase, misspelling
- Created regex to clean and standardize the Inserted Data into MongoDB and used pipeline structure of MongoDB for querying and Filtering data.
IDENTIFYING FRAUD FROM ENRON EMAILS AND FINANCIAL DATA
Feb 2017– May 2016 | Udacity-DAND | View Project
- The Aim was to identify which Enron employees are more likely to have committed fraud using machine learning and public Enron financial and email data.
- The accuracy of algorithms was calculated by the F1 score; the KNearestNeighbors with SelectKbest followed by PCA gave the best results.
EXPLORE AND SUMMARIZE DATA USING R
March 2017 – April 2017 | Udacity-DAND | View Project
- Used R and applied Exploratory Data Analysis (EDA) techniques to explore relationships in one variable to multiple variables and discovered a Wine data set for distributions, outliers, and anomalies. Main aim was to explore the correlation of chemical properties that influence the quality of red wine.
DESIGN AN A/B TEST
April 2017 | Udacity | View Project
- Udacity tested a major change in the new enrollment of their
- Made design decisions for an A/B test, including which metrics to measure and how long the test should be
HANDWRITTEN CHARACTER RECOGNITION USING ARTIFICAIL NEURAL NETWORKS
July 2015 – May 2016 | NIT Calicut-Major Project | View Project
- Image processing project used to detect characters from image and convert to text or pdf format by using Artificial Neural Networks.
- Handwritten number of user are trained initially and tested.
Obstacle avoidance robot:
NIT Calicut-Summer Project| View Project
- •My first project in RIG using arduino, ultrasonic sensor, servo motor. The robot would detect obstacle before it and reroute itself into a different path.
