Technologies: Python, TypeScript/JavaScript, React, FastAPI, Node.js, PostgreSQL/MySQL, MongoDB, AWS (S3, RDS), Google Cloud Run, Firebase, Docker, Git, REST APIs, RAG pipelines, LLM systems, Vector DBs (PGVector/Pinecone), RPA (UiPath), Distributed Systems, WebSockets

LinkedIn: https://www.linkedin.com/in/aishwarya-bhargava05/ GitHub: https://github.com/AishwaryaBhargava Portfolio: https://portfolio-ai-mauve.vercel.app/ Email: Aishwarya.bhargava1198@gmail.com Visa: F-1 OPT (STEM eligible, ~2.5+ years remaining, no immediate sponsorship required)

About Me I’m Aishwarya, a software engineer with a strong startup background, working across AI, automation, and full-stack systems. I recently completed my MS in Information Science at the University of Pittsburgh (GPA 3.83).

I’ve worked in fast-moving environments where the focus is on building and shipping end-to-end products, not just prototypes. My experience spans LLM-powered systems, backend infrastructure, and automation workflows, with a strong emphasis on making systems reliable, scalable, and actually useful in production.

I’ve built AI-driven products and internal tools that are actively used, including systems that combine retrieval pipelines, structured data, and LLMs to solve real user problems. I’ve also worked on conversational AI and automation platforms, integrating AI into existing business workflows to reduce manual effort and improve efficiency.

Before and alongside this, I’ve built multiple automation systems using RPA + AI for enterprise use cases like finance workflows, HR screening, and invoice processing, saving hundreds of hours of manual work. I also published research on AI + RPA systems for invoice processing.

Projects 1. Grounded AI - End-to-end document intelligence system - Built full RAG pipeline with ingestion, chunking, vector search, and grounded responses - Designed with strict guardrails and confidence thresholds to minimize hallucinations - Focused on production readiness with logging, evaluation, and edge-case handling 2. AI Job Assistant - Full-stack platform for resume parsing, job matching, scoring, and answer generation - Built using React, FastAPI, and MongoDB 3. Live Transcriber (Chrome Extension) - Real-time transcription tool using LLM pipelines - Built for accessibility and productivity 4. Automation Systems (RPA + AI) - Built end-to-end bots for enterprise workflows (finance, HR, operations) - Combined structured automation with AI to handle complex decision flows 5. TasteTrails - Full-stack travel + food platform with auth, CRUD, and interactive UI 6. Distributed + Data Systems - Hadoop + Docker setup for distributed processing Cassandra + blockchain-based data integrity system

Leadership - Vice President, Graduate Student Organization Global Graduate Mentor - Teaching Assistant for Data Science ethics

What I’m Looking For Full-time roles in AI Engineering, Software Engineering, Data Engineering, or Automation.

I’m most interested in building end-to-end systems in startup or high-impact environments, where I can take ownership from idea to production and work closely with real users.