Machine Learning Engineer · AI Researcher · Backend Developer
Specializing in end-to-end development of applied AI solutions & cloud infrastructure 🚀
Master’s student in Artificial Intelligence at San José State University with hands-on experience across the full AI development lifecycle.
- Expert in end-to-end development and deployment of AI solutions via backend services on cloud infrastructure.
- Engineered RAG, OCR, and LLM workflows to automate core business operations and design robust data pipelines.
- Experienced in Python, SQL, and Machine Learning with a foundation of academic excellence.
San Francisco, CA
- Built an AI Agent for Corporate Travel that automates booking logistics for sales teams and conferences.
- The agent utilizes the Anthropic SDK and Kiwi MCP Server to pull real-time flight/hotel data, generates personalized itineraries, and negotiates adjustments with attendees via chat before auto-booking within budget.
- Developed in just one day with a team of 4 (Uday Arora, Surya Pugazhenthi, Mukund P).
- Prizes: $2,000 Stripe credits, Team Lunch at Stripe HQ, and Swag.
📅 July 2024 – July 2025
- Optimized AI Service: Lowered Docker image build size by 42% and build time by 30% by replacing Chroma DB with AWS Bedrock Knowledge Bases.
- Mentorship & Automation: Led the AI team in building RAG-based SMS response and OCR digitization workflows, saving operations 20 hours/week and $2,000/month.
- System Integration: Reduced data-point consumption by 87% for Braze integration via a fault-tolerant API-based data ingestion pipeline.
📅 July 2023 – June 2024
- Financial Impact: Decreased working capital by $300k by implementing Machine Learning time-series forecasting for just-in-time inventory management.
- NLP Implementation: Developed an Inbound SMS classification system using BART embeddings clustering to automate message categorization.
- Data Engineering: Engineered cost-efficient pipelines using AWS CDC to sync DB replicas to Databricks from sources like Mixpanel and PostgreSQL.
📅 Jan 2023 – June 2023
- Automated reporting systems using Google Apps Script to sync Redash data to Google Sheets and Slack, eliminating manual entry.
- Authored Tableau KPI reports to analyze team efficiency and call wait times for strategic decision-making.
Contributor to the official implementation of "Forget-Me-Not" (CVPR 2024 Workshop).
- Fixed critical configuration issues in the Textual Inversion (TI) training modules to ensure correct concept forgetting in diffusion models.
- Tech Stack: Python, PyTorch, Diffusers.
Award-winning AI Agent designed to solve corporate travel logistics.
- Functionality: Automates itinerary generation, personalizes bookings based on user preferences, and handles real-time negotiation and booking via Kiwi MCP.
- Tech Stack: Anthropic SDK, Model Context Protocol (MCP), Python.
Production-grade RAG deployment on a user-facing portfolio site that allows users to chat with my professional experience.
- Features: Implemented security configurations to prevent exploitation and optimized vector retrieval for low-latency responses.
- Tech Stack: Next.js, Vercel, Pinecone, Vertex AI.
Machine Learning Security Solution to detect network anomalies and cyber threats.
- Methodology: Implemented supervised learning algorithms on network traffic datasets (NSL-KDD) to classify normal vs. malicious activity.
- Tech Stack: Python, Scikit-learn, Pandas.
NLP-based classification engine designed to segment and identify spam messages with high accuracy.
- Methodology: Utilized Bag-of-Words models combined with Random Forest, Decision Tree, and Naive Bayes algorithms.
- Tech Stack: Python, Jupyter Notebooks, NLTK.
- NVIDIA: AI Infrastructure and Operations Fundamentals
- Stanford Online: Machine Learning Specialization (Unsupervised Learning, RL)
- DeepLearning.AI: Advanced Learning Algorithms & Supervised Machine Learning
- MongoDB University: MongoDB Basics
🎓 Master of Science (M.S.) in Artificial Intelligence San José State University, San José, CA, USA 📅 Aug 2025 – Present
🎓 Bachelor of Technology (B.Tech) in Computer Science Vellore Institute of Technology, Chennai, India 📅 July 2019 – June 2023
⭐️ From eshan-chawla