Rahil Kothari is an SWE Intern at Google, with an inferred two years of experience. He is located in Mumbai, Maharashtra, India. His education includes Computer Engineering at KJ Somaiya College of Engineering, HSC from KC College, and ICSE from Greenlawns High School. Rahil is also identified as a Student - Undergrad focusing on AI.

Generative AI

Engineered a RAG-based chatbot (Flask/React) deployed on Google Cloud Run, utilizing embedding/vector search with Vertex AI/Gemini. Also built an automated resume-screener using Python and OpenAI GPT-3.5 (PyPDF2/PyMuPDF) with multithreading optimizations.

Minav Karia is a Software Engineering professional currently employed, whose background includes being an ex-SWE Intern at Barclays. He is skilled in Python, TensorFlow, CNNs, and Computer Vision, with accomplishments such as building an AI agent at Barclays to optimize over 20,000 jobs and developing an LLM chatbot using Flask, React, and LangChain. Minav also has practical full-stack web development experience and active open-source contribution experience. His interests lie in Computer Vision, Machine Learning, LLMs, Full-stack Web Development, and Open Source Contribution. He is pursuing Computer Engineering (B.Tech) at KJ Somaiya College of Engineering.

Computer Vision, Machine Learning, LLMs, Full-stack Web Development, Open Source Contribution

Current work includes developing an LLM chatbot using Flask, React, AWS Bedrock, and LangChain. Also built an AI agent to optimize 20,000+ jobs. Active open-source contributor, previously implementing a computer vision bollworm detection system with CNNs and TensorFlow.

Romil Lodaya is a Software Developer Engineer at Barclays, with previous experience as a Technical Team Member at KJSCE CodeCell. He studied Computer Engineering and Data Science at KJ Somaiya College of Engineering.

Saundarya Subramaniam is a third-year Computer Engineering student specializing in AI/ML and full-stack development. She has worked on LLM-based trade analysis tools at AGR Knowledge Services, legal document analysis, and generative poetry models during her college internship. Her projects include an AI crop disease prediction system, a bandit simulator, and a full-stack quiz app. She has co-authored a paper on crop disease detection, scored a 9.5 CGPA, earned gold badges on HackerRank, and is a nationally awarded violinist who also volunteers through music therapy. She is also a Spotify Campus Ambassador, promoting student engagement on campus while balancing her passion for competitive programming and community outreach.

I'm passionate about exploring the intersection of AI and social impact, particularly in agricultural and healthcare applications. Currently researching ethical AI/ML practices, model optimization techniques, and agentic AI systems to build more responsible and efficient intelligent applications. I'm eager to collaborate on projects involving agentic AI systems, multi-agent RL, RAG, CV for real-world problem solving, and edge AI with model optimization for mobile deployment.

I'm developing MediFinance, a full-stack healthcare platform using React, Node.js, and MongoDB. Integrating ML models for insurance fraud detection and building agentic AI systems to automate claim processing. I'm also building an AI-powered women's health diagnostics platform using computer vision for hormone detection, 4-PL calibration models, and rule-based interpretation for LH surge and PCOS detection. Tech stack includes React PWA, Python (Flask/FastAPI), and OpenCV.