Hello, I'm

Likash Gunisetti

AI Engineer · Generative AI · Agentic Systems

AI Engineer at ZS Associates building agentic LLM platforms with LangGraph, AWS, and Anthropic Claude/Azure OpenAI for enterprise-scale automation.

Likash Gunisetti

About

I'm an AI Engineer at ZS Associates, where I build agentic LLM platforms — from LangGraph-based Order-to-Cash automation to enterprise SOP lifecycle management — on AWS, using Anthropic Claude and Azure OpenAI as dual LLM providers. I previously worked with GreenBridge.ai on GraphRAG services combining FastAPI, Neptune, and Bedrock. I hold a B.Tech in Computer Science from GMR Institute of Technology and completed a Minors in CSE at IIT Guwahati. Outside of work, I channel my passion for technology and knowledge dissemination as a Blogger on Medium, sharing insights on AI and innovation.

Emaillikashgunisetti@gmail.com

PlaceVisakhapatnam, Andhra Pradesh, India – 530007

Experience

  1. Advance Data Science Associate (AI Engineer)

    ZS Associates
    • Built an agentic Order-to-Cash (O2C) workflow with LangGraph to identify, classify, and orchestrate Purchase Orders and Quotes for a large-scale enterprise CPQ ecosystem supporting multi-billion-dollar revenue operations.
    • Deployed the O2C platform on AWS ECS with CloudWatch monitoring, DynamoDB for workflow state, and Oracle Database integration for transactional data.
    • Designed an AI-powered SOP lifecycle platform (FastAPI backend) automating ingestion, blueprint generation, standardization, consolidation, and compliance auditing for regulated GMP/ISO/EHS operations.
    • Engineered a LangGraph multi-agent blueprint generation engine converting unstructured SOP documents (PDF/DOCX) into structured, reusable section blueprints with automated evaluation/retry logic.
    • Built Anthropic Claude and Azure OpenAI dual-LLM workflows to standardize SOP sections and consolidate overlapping SOPs with automated, conflict-flagged gap analysis.
    • Designed a logging middleware MCP using LibCST for non-LLM, graph-based Python code inspection and dependency tracing.
  2. Software Development Engineer (AI Engineer)

    GreenBridge.ai
    • Designed a graph-based RAG approach for SOLAR/WIND initiatives, addressing three critical real-time analytics latency issues.
    • Built a production-grade GraphRAG service (FastAPI, async MVC) for RUL inverter recommendations, integrating LangChain and Bedrock (Claude 3.5 Sonnet) to generate Cypher queries against Neptune and turn graph output into natural-language insights.
    • Reduced cold-start latency via singleton connection pooling, startup pre-warming, and dedicated health-check/exception-handling layers.

Internships

  1. Gen AI Intern

    NeonFlake
    • Developed a kiosk application with multilingual speech capabilities using Llama3-8b-8192, SadTalker, and the Eleven Labs API.
    • Built a Content Calendar application (REST API, MongoDB, Cloudinary) with sub-5-second average file access response times.
  2. Data Science Intern

    DKG Labs
    • Revamped a candlestick-chart stock market analysis tool, reaching 94% trend prediction accuracy.
    • Upgraded the candlestick analysis codebase to TensorFlow 2 for better performance and visualization.

Education

Minors, B.Tech Computer Science Engineering

Indian Institute of Technology Guwahati

Aug 2024 – Sep 2025

GPA: 8.6

B.Tech, Computer Science Engineering

GMR Institute of Technology

Jan 2020 – Apr 2024

GPA: 7.8

Skills

Certifications

    More on Medium →

    Achievements

    • Finalist – Smart India Hackathon 2023, selected among 1,500+ teams nationwide.
    • Winner – INNOEXPO-360 Hackathon (48-hour challenge), project: “Medi-Diagnose”.
    • Top Performer – College Innovation Challenge 2022, among 200+ participants.
    • Best Project Award – Department Technical Expo 2023, Institute of Technology.

    Get in touch

    Have a project, a role, or just want to say hello? Send a message below.