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Anjani KushwahaAK
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Anjani Kushwaha

@anjanikushwaha

I’m an entry-level SDE building production LLM/RAG systems with strong evaluation and prompt engineering.

India
Message

What I'm looking for

I’m looking for a role where I can build and evaluate production LLM/RAG systems—shipping backend features end-to-end, improving retrieval and alignment with rigorous error analysis, and growing into technical ownership of AI product reliability.

I’m a recent B.Tech CSE graduate who builds production-grade AI systems—especially LLM/RAG pipelines—while obsessing over evaluation, reliability, and measurable quality improvements. In my FTC role, I supported model alignment by running RLHF-based evaluations and deep error analysis across large volumes of LLM outputs.

In parallel, I’ve shipped end-to-end backend products for AI experiences, including a SaaS prompt engineering platform and multiple RAG-based assistants. I design multi-agent and retrieval workflows with real-time capabilities (e.g., SSE streaming), using embeddings and FAISS to ground responses in enterprise documents and reduce hallucinations.

I like turning ambiguous intent into structured systems, from ingestion and chunking to semantic retrieval and usage tracking. I’m also motivated by impact and learning—earning recognition in competitive programs (e.g., Microsoft Engage ’22) and consistently performing well in structured problem-solving.

Experience

Work history, roles, and key accomplishments

TU

LLM Python Engineer (FTC)

Turing

Sep 2024 - Apr 2025 (7 months)

Executed large-scale LLM evaluation and validation workflows across Python/SQL/ML tasks, improving response quality and instruction adherence via systematic error analysis and prompt optimization.

ML

Software Engineer Intern

Microsoft India (R&D) Pvt. Ltd

Jul 2023 - Aug 2023 (1 month)

Designed and built a COGS Calculator to forecast cost impact of new features over a 3-year horizon, and implemented automated monitoring and alerting workflows using Power platform tools.

Education

Degrees, certifications, and relevant coursework

PT

Pranveer Singh Institute of Technology

Bachelor of Technology (B.Tech), Computer Science and Engineering

2020 - 2024

Grade: 8.3/10 (CGPA)

Activities and societies: Achievements: 1500+ LeetCode rating; 5-Star Problem Solving (HackerRank); Hacktoberfest contributor.

Completed a B.Tech in Computer Science and Engineering from Pranveer Singh Institute of Technology (CGPA: 8.3/10). Selected among top 6% (3K/50K) in Microsoft Engage Program’22 and secured an internship at Microsoft.

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