Sep 2024 – Dec 2024 · 3 mos · Chicago, Illinois, United States

Feb 2024 – May 2024 · 3 mos · California, United States · Remote

• Researched and collected content on AI, especially Generative AI. Analyzed various Generative AI and AI tools like ChatGPT, Github Copilot, Adobe Firefly, Grammerly, etc. Studied and summarized various laws and ethical guidelines on AI - European Union AI Act, GDPR, Foundation Model Transparency Index, etc

Sep 2023 – Dec 2023 · 3 mos · United States · Hybrid

• Conducted EDA on point-of-sale data to understand declining sales. Analyzed data, and implemented SVR and XGBoost to drive sales and XAI to identify sales drivers. Improved the sales of cereals by 13% for a key market and retailer by optimizing their product assortment and providing reinvestment opportunities

Jun 2023 – Sep 2024 · 1 yr 3 mos · Evanston, Illinois, United States · On-site

• 1. Worked on novel semantic chunking for LLM applications such as Retrieval-Augmented Generation (RAG)
• 2. Developed a GPT 3.5 conversational interface using semantic chunking, Weaviate Vector Database, LangChain, and RAG pipeline for context-aware document question-answering. Tested different deployment environments and deployed it in Render and Streamlit cloud
• 3. Created an image filtering, segmentation, and augmentation workflow for processing street images. Fine-tuned Computer Vision algorithms (YOLOv8, YOLOv9) to identify cameras in images with 0.6 recall
• 4. Built Streamlit dashboards and data analysis tools for California County Public Defenders Offices to summarize and visualize crime data and reduce RJA 3,4 case discovery time by 50%

Apr 2023 – Jun 2023 · 2 mos · Evanston, Illinois, United States · Remote

• Wrote dockerfiles (Docker, Podman) and shell scripts for running AI models on workstations. Developed and executed a testing pipeline for optimizing the game-playing AI models. Achieved 30% performance improvement over 50-100 experiments

Jul 2021 – Aug 2021 · 1 mo

• 1. Built a recommendation system for the company's E-comm website to increase search efficiency
• 2. Processed and analyzed large-scale open-source Reddit and Twitter natural language data. Executed document classification for the data with 80% accuracy using a transformer-based DNN
• 3. Improved their keyword extraction pipeline using RAKE and BERT through agile development

Aug 2020 – Sep 2020 · 1 mo

• 1. Worked on fixing bugs for the project "animation automation"
• 2. Developed a Feedback system for Posture correction using Pose Estimation and Time Series Analysis.

Jun 2020 – Jul 2020 · 1 mo

• 1. Led a team of 5 members to automate video animation, reducing average automation time by 60%
• 2. Applied Pose Estimation and motion physics for converting human motion to BVH motion capture files

Apr 2020 – Jun 2020 · 2 mos · Remote

• 1. Intern and technical writer at IoTEDU, a blogging website and a publication in medium
• 2. Implemented IOT + Machine Learning Project and wrote technical documents on them

Feb 2020 – Mar 2021 · 1 yr 1 mo

• 1. Project Lead and board member responsible for organizing technical hacks and events.
• 2. Supervised and collaborated on 15+ data science and machine learning projects.
• 3. Volunteered for teaching schools and judging competitions near Vellore, Tamil Nadu

Dec 2018 – Jul 2021 · 2 yrs 7 mos

• 1. Learnt the basics of Machine Learning and Artificial Intelligence
• 2. Applied Machine Learning, Computer Vision, and Optimization Algorithms (i.e. Genetic Algorithms) on cross-domain projects
• 3. Participated in Technical Events and Hackathons