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Varshith Gaddam

@varshithgaddam

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AI/ML engineer building production RAG and multi-agent systems for real impact.

India

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What I'm looking for

I’m looking for an AI/ML role where I can build production RAG and multi-agent systems, ship end-to-end features fast, and focus on grounded, reliable outputs with measurable evaluation (latency, hallucination, accuracy).

I’m an AI/ML engineer who delivers end-to-end, production-grade AI systems, with 20+ projects shipped and validated in real scenarios. I specialize in RAG pipelines, multi-agent orchestration (LangGraph), and vector search workflows using Qdrant, Pinecone, and FAISS.

I’m also an IEEE-published researcher, with an accepted author role at ICSSAS 2026 (IEEE Xplore) and an oral presentation on novel computer vision research. I’ve proven speed and execution as a regional hackathon winner (1st Place), building a functional AI system within 24 hours.

I combine strong implementation discipline with research rigor—supported by a 365-day coding streak, 380+ DSA problems solved, and 60+ public GitHub repositories. In internships, I built a financial document intelligence system with a full RAG pipeline (cutting manual audit time by 40%) and engineered evaluation for groundedness, hallucination rate, and latency to help global engineering teams.

Experience

Work history, roles, and key accomplishments

AI/ML Engineer Intern

US-Based Client Project

May 2025 - Jul 2025 (2 months)

Built a financial document intelligence system using GenAI to extract structured insights from SEC filings at scale. Designed and optimized a RAG pipeline that cut manual audit time by 40% and improved downstream reliability with structured JSON/function-calling prompts.

PDF Chunking Embeddings Prompt Engineering Function Calling Model Evaluation

AI Intern

Evoastra Ventures Pvt Ltd

Jan 2025 - Present (1 year 5 months)

Developed predictive ML models for automated visual inspection pipelines using CNNs and scikit-learn. Performed feature engineering and data cleaning to improve model stability and reliability by 15%.

CNN scikit learn Feature Engineering Data Cleaning predictive modeling Model Evaluation data preprocessing

Education

Degrees, certifications, and relevant coursework

Vignan Institute of Technology and Science

Bachelor of Technology (B.Tech), Artificial Intelligence and Machine Learning

Grade: CGPA 8.3/10

Earned a B.Tech in Artificial Intelligence and Machine Learning (CGPA 8.3). IEEE ICSSAS 2026 accepted publication with an oral presentation on MSF-UNet for semantic change detection.