🎓 AI Researcher & Engineer | M.S. in Artificial Intelligence, Rochester Institute of Technology (RIT)
🔍 Passionate about solving real-world problems in Agentic AI, NLP, RAG Systems, Object Detection, and Multimodal AI
💼 Former Software Engineer at Tata Consultancy Services | Led automation and access management solutions for 2,000+ ids

• ✈️ Agentic AI Travel Planner (Latest — Live App) Full-stack agentic AI app using a LangGraph ReAct agent (GPT-4o-mini) that autonomously calls live tools — real-time weather, budget estimation, and Tavily web search — to generate grounded travel itineraries. Built on a 3-tier streaming pipeline (React → Node.js → FastAPI) with end-to-end SSE token streaming. Cuts travel research time by ~80%, delivering a complete itinerary in under 30 seconds.

• 🔬 Capstone: Hybrid Memory-RAG Medical Chatbot
  Built a chatbot using Phi-2 LLM with ChromaDB + RAG (BM25, MedCPT, RRF) on a corpus of 216K+ medical samples. Outperformed baselines on MedQuAD (BERTScore F1 = 0.8644).

• ☁️ Financial Q&A RAG Assistant on AWS
  Cloud-native RAG pipeline to analyze SEC 10-K filings — automating ingestion (S3 + Lambda), ETL orchestration (Airflow), and FAISS-based semantic retrieval over SageMaker-hosted LLMs. Accelerated financial insights by 90%.

• 📚 Indonesian Manhwa Translation Pipeline
  Automated translation from Indonesian to English using YOLOv5xu + Tesseract + MarianMT. Achieved F1 = 90.7% (bubble detection), BLEU = 0.27, reducing manual effort by 98%.

• 🌫️ Low Visibility Object Detection
  Integrated YOLOv5 with AOD-NetX dehazing. Boosted accuracy in foggy environments by 6.74%.

• 🔐 LLM Security Research
  Co-authored a peer-reviewed paper analyzing prompt injection, jailbreaking, and PII exposure in LLMs. Cited 76+ times.

Languages: Python, SQL, R, Java, C/C++
AI/ML: PyTorch, TensorFlow, Hugging Face, Scikit-learn, OpenCV, XGBoost, spaCy, NLTK
LLMs & GenAI: LangChain, LangGraph, OpenAI APIs, RAG, FAISS, ChromaDB, Pinecone, LoRA, RLHF
MLOps & Cloud: AWS (SageMaker, Lambda, S3, EC2), Docker, Kubernetes, MLflow, Airflow, W&B, GitHub Actions
Frontend & Backend: React, Node.js, FastAPI, REST API, Gradio
Tools: PostgreSQL, MySQL, Snowflake, Power BI, Tableau, Git, Terraform
Concepts: Agentic AI, Computer Vision, Deep Learning, Generative AI, Prompt Engineering, MLOps

• email: ss3028@rit.edu
• (LinkedIn)
• (Google Scholar)

📌 Actively looking for roles in Machine Learning, Applied AI, NLP, or Computer Vision (Summer 2025 full-time)
💬 Feel free to connect or collaborate on open-source, research, or applied ML projects!