Autonomous RL-DL Agent for Realtime multiplayer SuperTuxKart Ice-Hockey
Emmanuel Rajapandian, Jean Del Rosario Pegeuro, Shubham Gupta
Cover Letter
I work towards enhancing ASIN conversion rates for WW Amazon Stores by building ETL data pipelines and pooling the data through ML, Generative AI tech stack such as LLMs, RAGs to extract insights. I have over 3+ years of dedicated experience in ML/AI, including roles as a Data Scientist and Research Analyst. Since mid 2023, I have been interested in Causal ML trying to evaluate the cause and effect of business usecases with SOTA models. I have also been exploring LLMs, using advanced prompting technqiues, guardrails to address and help solve customer pain points in WW Amazon Stores. I love to solve problems which improve the customer experience and cherish new and complex challenges.
Education
- M.S. in Datascience, University of Texas, Austin, 2024 December [Expected]
- Completed Coursework: Data Exploration & Visualization (A), Probability and Simulation Based Inference (A), Data Structures & Algorithms (B+), Foundations of Regression and Predictive Modeling (A), Advanced Predictive Models (A), Design Principles & Causal Inference (B+), Deep Learning (A), Convex Optimization (B+)
- Ongoing Coursework: CS 391L Machine Learning
- B.Tech. in Electronics and Computer Engineering, Indian Institute of Information Technology, Chennai
- Relevant Coursework (“A” grades): Data Structures and Algorithms, Digital Image/Signal Processing, Data Analytics in Python, Probability Theory, Information Theory and Coding.
Work experience
- Amazon - Business Analyst I - [Oct 2022 - ]
- Individual contributor with responsibilities such as formulating the business opportunities, extract data, solving them using ML/NLP to enhance customer buying experience.
- Currently working on customer behavior analytics using LLMs, Prompt Engineering.
- Tech Stack: AWS Sagemaker, Lambda, S3, EC2, Clouwatch, Redshift, Bedrock.
- Applied Data Finance - Jr. Data Scientist; Applied R&D - [May 2021 - Sep 2022]
- Led a strategic initiatives to achieve loan channel objectives, deployed ML models and rewrote Credit Underwritings.
- Developed impactful models utilising advanced Gradient Boosting techniques like XGBoost and LightGBM.
- Achieved monthly revenue of 400k dollars with a 0.15 CPFD (cost per funded dollar) for a Loan Channel.
- Co-owned a pivotal analytics project, shaping outcome decisions through leadership by actively engaging with senior management, chief analytics officer, to strategise and drive initiatives.
- Significantly decreased loan delinquency and boosted profits through data-driven ML models.
- Tech/Skill Stack: ML, PostgreSQL, Business/Predictive analytics, Risk modelling.
- Larsen & Toubro Sciences R&D - Datascience Intern - [Jul 2020 - Oct 2020]
- Leveraged Elasticsearch to elevate semantic search functionality within L&T’s internal website.
- Fine-tuned and seamlessly integrated a search next-word predictor using the then newly released Google T5 model within the L&T database.
- Tech/Skill Stack: NLP, ML, Python.
Skills
- Engineering: ML (Classical, Boosted), NLP (BERT, T5, LLMs, RAGs), Deep Learning, A/B Testing, Causal ML.
- Analytics: Customer Behavior, Risk Modelling, Forecasting/Predictive, Statistical, Data visualization.
- Tools:
- Languages: Python (Proficient), R, PostgreSQL, SQL, C, C++.
- Data Science: Numpy, Pandas, PyTorch, Scikit-Learn, TensorFlow, HuggingFace Pipelines/Transformer, Jupyter Notebook.
- Cloud: AWS Sagemaker, Lambda, S3, EC2, ETL, Clouwatch, Redshift, Bedrock, VScode.
- Operating system: MacOS, Windows, Linux.
- Soft Skills: Leadership, Ownership, Business Document Writing, Public Speaking, Critical Thinking, Problem Solving.
Projects
Image based vision system for a racing simulator - SuperTuxKart
Emmanuel Rajapandian
RAG Chatbot using Falcon 7B LLM using Langchain
Emmanuel Rajapandian
[Code]
Other roles and leadership
- Society of Automotive Engineers Club (IIIT) - Team Captain - (Aug 2019 - Mar 2020)
- Captained the college SAE team comprising of 7 members, tasked to design and model a RC plane.
- Successfully modeled and flight-tested 10 prototypes within a span of 4 months.
- Chennai Cubing Club (c^3) - Core Organizer - (Aug 2018 - )
- Successfully organized and conducted IIITDM Cube Open in 2018.
- Core member in Chennai Cubing Club for conducting WCA competitions across Tamilnadu.
- Currently ranked top 10 in India in Pyraminx category. Was ranked top 30 in the world (2018-2020) and was the runner-up national champion in this event.