Open to opportunities

krishnasuhas charugundla

@krishnasuhascharugundla

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Computer science graduate focused on AI/ML, building scalable data-driven systems.

India

Message

What I'm looking for

I am seeking roles where I can build AI/ML systems and scalable full‑stack applications, work on cloud‑native architectures, and collaborate on research‑driven projects that impact real users.

I am a computer science graduate with a strong foundation in AI, machine learning, and data science, experienced in developing ML models and building full‑stack scalable applications. I have delivered projects spanning retrieval‑augmented generation, real‑time systems, and production‑grade databases.

My notable achievements include building a full‑stack RAG document QA platform with sub‑second responses and 90%+ citation accuracy, a C++ WebSocket client handling 1000+ concurrent messages/sec, and ML models that improved loan risk prediction accuracy by 12% while reducing false positives by 18%.

I bring practical experience with cloud‑native architectures, PostgreSQL schema design for large catalogs, and end‑to‑end product delivery using React, Next.js, Django REST, and OpenAI APIs; I aim to apply research‑driven thinking and collaborative problem solving to real‑world technical challenges.

Experience

Work history, roles, and key accomplishments

Current

ML & Full‑Stack Project Lead

Current

Personal Projects

Jun 2023 - Present (2 years 6 months)

Led end-to-end development of RAG-powered DocIntel document QA platform and multiple ML systems, achieving <1s response times for 100+ files and improving loan risk prediction accuracy by 12%.

RAG OpenAI API ChromaDB Python scikit learn XGBoost React Next.js

Computer Science Student

Amrita Vishwa Vidyapeetham

Pursuing B.Tech in Computer Science with hands-on project experience in ML, full‑stack development, and scalable data systems; delivered multiple projects achieving up to 90%+ citation accuracy and 30% query latency reduction.