GOVINDA REDDY/ AI ENGINEER
● BUILDING PRODUCTION AI SYSTEMS HYDERABAD · IN EST. 2025

Kurri
Govinda Reddy

AI / ML Engineer / Software Engineer (AI)

I build production AI agents, LLM systems, and multi-agent pipelines — from an enterprise underwriting & fraud engine to an autonomous code-generation system and an open-source legal-operations agent.

View Work → GitHub LinkedIn
govindareddy@dossier ~ %
$ whoami --role
01

Summary

AI / ML Engineer specializing in production AI agents, Large Language Models, and multi-agent systems. I've shipped an enterprise insurance underwriting and fraud-detection engine, an autonomous multi-agent code-generation system, a multi-tenant RAG chatbot, and an open-source AI legal-operations agent.

Hands-on with custom LLM routing across 10+ providers (Mistral 7B, LLaMA 3.2, Claude 3.5 Vision, Qwen 2.5 Coder, Gemini, Groq, Ollama), agent tooling, function calling, RAG over pgvector, document-processing pipelines, and end-to-end FastAPI / SQLAlchemy services.

Focus
AI Agents · LLMs · RAG
Education
B.Tech CSE (AI & ML)
Email
kurri.govindareddy@gmail.com
Phone
+91 94942 18866
0%
Code-gen quality
0×
Faster F1 (Groq vs Gemini)
0+
LLM providers routed
0%
Precision on key clauses
02

Stack

AI / ML / LLM

LLMsAI AgentsMulti-Agent SystemsLangChainLangGraphLangSmithRAGpgvectorEmbeddingsVision Language ModelsPrompt EngineeringFunction CallingAgent ToolingHugging FaceMCPGenerative AI

Backend & APIs

FastAPIPydanticSQLAlchemyAlembicREST DesignAsyncWebSocket / SSEOpenTelemetry

Languages & Data

PythonSQLPostgreSQLMySQLMongoDB

Cloud / DevOps / Frontend

GCPAWSAzureDockerCI/CDGitHub ActionsTypeScriptAngular MaterialLinuxBashruffmypy
03

Experience

Monocept Jan 2026 — Present

Software Engineer

AI-Powered Underwriting Risk Assessment Engine
STACK · Python · FastAPI · LangChain · PostgreSQL · SQLAlchemy · Alembic · Azure Document Intelligence · Claude 3.5 Vision · Ollama · OpenTelemetry · Docker
  • Architected an AI-powered insurance underwriting risk assessment and fraud detection engine from scratch, orchestrated through DAG-based workflows.
  • Designed a reusable DAG workflow framework powering an 11-node risk pipeline, 11-node fraud pipeline, and 15+ node document extraction pipeline with dynamic routing, async job queues, and per-step audit trails.
  • Built a multi-stage document extraction pipeline combining Azure Document Intelligence (OCR), Claude 3.5 Vision (VLM), and a local LLM (gpt-oss:20b via Ollama) — structured JSON in ~30s per page.
  • Instrumented OpenTelemetry tracing via Arize Phoenix for end-to-end observability across every workflow node and LLM call.
NeuralShell — Autonomous Multi-Agent Code Generation
STACK · Python 3.11+ · FastAPI · WebSocket · Ollama (qwen2.5-coder) · MySQL · Docker · Textual (TUI) · ruff · mypy
  • Built NeuralShell, an autonomous multi-agent system for code writing, review, testing, and deployment — code-gen quality rated ~90% via manual review.
  • Introduced an ArchitectureNode for intelligent codebase parsing and change-location detection before any modification.
  • Implemented parallel agent nodes (Code / Review / Testing / Deploy) coordinated by a WorkflowRouter that dynamically delegates tasks.
  • Shipped a Textual TUI client with interactive mode, slash commands, dry-run previews, and target scoping — deployable across any codebase.
Monocept May 2025 — Jan 2026

Software Intern

MozartBot — Multi-Tenant RAG Chatbot
STACK · Python · FastAPI · LangChain · LangGraph · PostgreSQL · pgvector · TypeScript · Angular Material · Ollama
  • Architected a multi-node LangGraph workflow (retrieval → grading → generation) with checkpoint memory over pgvector — document Q&A in 5–7s.
  • Built a multi-format document pipeline (PDF, DOCX, Excel, CSV, image OCR) with PyMuPDF table extraction into a multi-tenant pgvector store with per-company isolation.
  • Integrated 8–10 LLM providers (primarily Mistral 7B & LLaMA 3.2) with hot-swappable selection — ~80% retrieval accuracy across 8 conversation flows.
  • Implemented SSE streaming for real-time chat and a responsive Angular Material frontend.
04

Selected Projects

Vouchsafe

Live · v0.3.0

A signed, deterministic inventory of every AI / LLM / agent / MCP touchpoint in a codebase — mapped to EU AI Act, ISO 42001, NIST AI RMF, OWASP LLM Top 10 & MITRE ATLAS. No LLM inside. Air-gapped. Byte-identical output, signed with Ed25519.

PythonEd2551915 languages45+ AI SDKsGitHub Action
↗ Repo↗ Marketplace

Legal Co-Pilot

Open Source

A multi-provider AI legal-operations agent on a $0/month budget. Ingests contract PDFs and runs the full lifecycle: extraction → risk analysis → redlining → drafted negotiation email → action layer → long-term memory. Benchmarked on the public CUAD dataset.

FastAPIpgvectorPydantic v2GeminiGroqOllamaMCP
↗ Repo
05

Education & Certifications

Education
Vasireddy Venkatadri Institute of Technology
B.Tech in Computer Science & Engineering — Artificial Intelligence & Machine Learning
2021 — 2025
Narayana Junior College
Intermediate (MPC) — Mathematics, Physics & Chemistry
2019 — 2021
Loyola Public School
ICSE — Class X
2018 — 2019
Certifications
  • Associate Cloud EngineerGoogle Cloud
  • Generative AI Essentials ProfessionalMicrosoft
  • Data Analysis Essentials ProfessionalMicrosoft
  • AI for EveryoneDeepLearning.AI
  • Docker Foundations ProfessionalDocker
06 — Let's build

Let's make something
that ships.

Open to AI / ML engineering roles and collaborations on agents, LLM systems, and applied ML.

kurri.govindareddy@gmail.com
GitHub LinkedIn Email →