Akash Chaute
@akashchaute
GenAI Engineer specializing in agentic LLM systems, RAG, and FastAPI backends—shipping production automation for enterprise teams.
What I'm looking for
I’m a GenAI Engineer with 2 years of production experience designing and shipping enterprise-grade agentic AI systems at Comcast via Accenture, supporting 4,000+ users. I specialize in LLM orchestration with LangGraph and LangChain, multi-agent pipeline architecture, RAG, FastAPI backends, and Azure OpenAI integration. I’ve eliminated 70–80% of manual engineering and reporting workflows through production AI automation.
In my role, I architected a production multi-agent LangGraph system (ADAS) for bug triage → root-cause → PR workflow using Azure OpenAI, including parallel execution for concurrent analysis and fix synthesis—delivering a 70% reduction in bug resolution time across 4 teams. I also built agentic sprint intelligence that automates standups and leadership summaries, and an AI Jira → executive PowerPoint reporting pipeline deployed on the Genie platform, saving 3–4 engineering hours per sprint cycle per team. I’m recognized with an Accenture Impact Award and am a Claude Certified Architect (Anthropic).
Experience
Work history, roles, and key accomplishments
GenAI Engineer
Accenture
Jul 2024 - Present (1 year 11 months)
Architected a production multi-agent LangGraph defect analysis system, automating bug-triage to fix synthesis and reducing bug resolution time by 70% across four teams (~400 users). Built agentic sprint analytics and AI-generated executive PPTs using LangGraph + FastAPI, cutting manual reporting effort and saving 3–4 engineering hours per sprint cycle.
Education
Degrees, certifications, and relevant coursework
National Institute of Technology, Nagpur
Bachelor of Technology (B.Tech)
2020 - 2024
Grade: 8.1/10
Activities and societies: Ranked among the top 1.7% of 1.2 million candidates in JEE (Main) 2020.
Completed the B.Tech program at the National Institute of Technology, Nagpur from Nov 2020 to May 2024, earning a CGPA of 8.1/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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