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Khushi VermaKV
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Khushi Verma

@khushiverma2

Python & AI/ML engineer building GenAI applications, RAG pipelines, and production-ready LLM systems.

India
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What I'm looking for

I’m looking to build scalable enterprise GenAI systems—especially LLM orchestration and RAG—where I can automate workflows, ship reliable FastAPI services, and apply MLOps (Vertex AI) to improve accuracy, uptime, and decision speed.

I’m a Python & AI/ML engineer with 2+ years of experience building GenAI applications, RAG pipelines, and Python backends (Django/Flask). I’ve delivered enterprise AI solutions using LangChain, LlamaIndex, and LLM orchestration—cutting manual effort by up to 80% and improving operational efficiency at scale.

At KPIT Technologies Limited, I architected a multi-agent LLM pipeline with Python, LangChain, LLM APIs, and RAG-based vector retrieval—reducing hallucinations and improving response accuracy by 40%. I also built Python + FastAPI AI tooling to generate DoD/DoR/acceptance criteria and tasks from raw requirements, adopted by 5+ teams and reducing manual documentation effort by 70%.

I enjoy turning complex requirements into scalable, reliable systems. I’ve implemented MLOps with Vertex AI for model deployment, versioning, monitoring, and continuous evaluation, reaching 99.5% uptime, and developed FastAPI microservices handling 1000+ concurrent requests with <500ms latency.

Experience

Work history, roles, and key accomplishments

KPIT Technologies Limited logoKL
Current

Python & AI/ML Engineer

KPIT Technologies Limited

Jul 2024 - Present (1 year 11 months)

Architected a multi-agent LLM RAG pipeline, improving response accuracy by 40% and cutting automated test/script creation time by 80% (from 1–3 weeks). Built FastAPI microservices and deployed LLMs with Vertex AI, achieving 99.5% uptime while reducing manual documentation effort by 70% across 5+ teams.

KPIT Technologies Limited logoKL

Intern – Python Developer

KPIT Technologies Limited

Jan 2024 - Jun 2024 (5 months)

Diagnosed 15+ critical failures in Linux-based AI/ML systems, improving model reliability by 35% through systematic debugging and performance profiling. Developed FastAPI automation REST APIs for 10+ users, created 80+ Python test cases (92% coverage), and optimized EC2/S3 deployment pipelines to improve infrastructure efficiency by 30%.

Education

Degrees, certifications, and relevant coursework

Chandigarh Group of Colleges, Landran logoCL

Chandigarh Group of Colleges, Landran

B.Tech, Computer Science Engineering

2020 - 2024

Grade: 8.74 / 10.00

B.Tech in Computer Science Engineering from Chandigarh Group of Colleges, Landran (2020–2024), with a GPA of 8.74/10.00.

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