
Ashutosh Jha
@ashutoshjha7
AI Agentic Developer at Bespoke Labs, building agents graded on real system state and production multi-agent platforms.
What I'm looking for
At Bespoke Labs, I design agentic workflows that let LLM agents diagnose and fix incidents across a 12-microservice platform. I also write Python tooling that grades agents on real system state and closes grader-bypass paths.
At Bespoke Labs, I built graded Kubernetes agent tasks and automated multi-stage grading for Nebula. I also reviewed evaluation tasks and rated agent tool calls across open-source codebases.
At Turing, I engineered Python and C++ LLM optimization pipelines for Alibaba Qwen and ByteDance Doubao. The work raised accuracy 15%, cut hallucination rate 20%, and reduced inference latency 20% with vLLM model serving.
I built Nexus AI, a production multi-agent LLM platform that routes tasks across specialized agents and combines semantic caching with hybrid RAG. I also built hijack-bench, a red-team benchmark that evaluates prompt-injection defenses against agents' real tool calls.
Experience
Work history, roles, and key accomplishments
AI Evaluation Engineer
Bespoke Labs
Mar 2026 - Present (6 months)
Designed agentic workflows for autonomous incident diagnosis and repair across a 12-microservice platform, and built Python tooling to secure verifier queries and close grader-bypass paths. Automated multi-stage grading for Kubernetes agent tasks and reviewed evaluation tasks for necessity and milestone progress.
AI Engineer
Turing
Jul 2025 - Mar 2026 (8 months)
Engineered LLM optimization pipelines in Python and C++ (SFT, RLHF, PEFT, LoRA/QLoRA) over 50K+ samples, raising accuracy 15% and cutting hallucination rate 20%. Collaborated with Alibaba and ByteDance teams to tune models and reduce inference latency.
Software Engineer Intern
Soefia Education Inc
Jan 2025 - Jul 2025 (6 months)
Built and deployed a FastAPI backend with 50+ JWT-secured REST routes serving 1,000+ daily calls. Sped up MongoDB queries on 10K+ records by 25% via indexing and automated testing to 70% coverage.
Education
Degrees, certifications, and relevant coursework
Academy of Technology
B.Tech, Computer Science & Business Systems
2022 -
Grade: 8.1/10
Activities and societies: 1800+ LeetCode rating, with 1,400+ problems solved across competitive programming platforms.
Pursuing a B.Tech in Computer Science & Business Systems with a CGPA of 8.1/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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