Mar 2023 – Aug 2024 · 1 yr 5 mos · Chennai, Tamil Nadu, India · On-site

• Defined and Developed a Retrieval Augmented Generation (RAG) approach
• for auto validating updates performed on a domain.
• Evaluated multiple language models before finalizing the tech stack for RAG.
• Used chroma DB for vector store, python backend, ray serve for model
• serving, flan T5 model for retriever.
• Have built BERT based classification models required for making decisions
• on unstructured text fields.
• Extracted and inferred tabular data from PDF using table parsing and
• extraction methods. Used combination of AWS service textract and custom
• models for table data extraction and inferred with large language models
• from amazon bedrock service.
• Have performed finetuning of large language models till 7B parameters using
• PEFT QLORA technique and fully sharded data parallel methods.
• Have worked on complete end to end solution using AWS lambdas, docker,
• Kubernetes deployment, etc.
• Have evaluated existing code implementations, proposed opportunities for
• optimizing the solutions.
• Evangelized MLOPs best practices and AI QA practices across functional
• groups.
• Have participated in 3 days in-house designathon event using intellect
• developed orchestration platform for backend and front-end development.

Oct 2020 – Mar 2023 · 2 yrs 5 mos · Chennai

• Formulating, suggesting, and managing data-driven projects, aimed at furthering the business interests
• Managing full development cycle of planning, analysis, design, development, testing, and implementation using data mining and data analysis tools
• Identifying new processes, determining gaps in existing process and implementing new processes; participating in design reviews and contributing in allocation of functionality to specific system components
• Developing innovative business solutions to improve revenue, quality and product performance and reduce cost by leveraging combination of domain knowledge, data science & data engineering skills
• Examining stocks and building Quantitative Investment decisions, risk prediction and asset identification for investments based on client interests
• Preserving the financial services product and managing marketing pipeline and communication
• Developing IT technologies required for decision making & financial service management for clients
• Software Developer, ML Engineer (March 2022 – December 2022), Yokogawa, Abu
• Dhabi
• Architected a Forecasting & Oil Well Test Scheduling application
• The sensor data collected during oil and gas production well was used to
• forecast production as well as ensuring process sanity.
• The collected data was used for anomaly detection, oil and gas flow
• predictions, A hybrid model was deployed using scikitlearn and scipy
• optimization libraries.
• A custom programming language was created to automate the operators
• test schedule.
• The languages used are Python & .Net C#
• The program was run in multi-threaded fashion as a 24X7 monitoring service

Dec 2018 – Dec 2020 · 2 yrs · Chennai

• Worked with teams and intense interest in technology and training people to up-skill, undertook a business opportunity through franchise of LIVEWIRE (CADD Training services)
• Delivered technical skill training in electronics, electrical and computer programming I was taking care of daily business operations
• Supervised a team of 5 members for staffing & training, client training delivery and marketing & sales

Jan 2015 – Jan 2018 · 3 yrs

• Expansion of automated test platform for various Flight Management programs
• Facilitated New product development using Machine learning & AI
• Development of data science projects, implemented document classification model using LDA Method and classification model to predict Tags for an internal Q&A forum user posts
• Managed Test Automation Platform development in Python & Ironpython.net Used scikit-learn and nltk libraries for text classification

Jan 2011 – Jan 2016 · 5 yrs

• Worked in areas such as KLA-Tencor – Semiconductor Wafer Inspection Testing, General Electric –B787 Low Level Testing and Rockwell Collins - FMF High Level Testing
• Operated with tools & technologies such as Test framework development in Python, Code Inspection as per CMMI software development, Development of C Unit tests for low level requirements and Test framework development using .NET UI Automation
• Performed Quality control of Semiconductor(Wafer) Inspection systems, regression testing on Simulation and Feature testing in semiconductor fab
• Conducted Unit Testing of apps on Common Core System hardware to ensure robustness and stability of software