Available for AI projects & collaborations

AI systems that
actually ship.

I build production-ready AI systems using RAG, LLMs, NLP, agents and automation — from prototype to tested, containerized, deployable software.

Python·RAG·LLMs·Agents·Automation
AI ENGINEER01
Professional portrait of Krishna
system.py
pipeline = [
  "ingest",
  "retrieve",
  "reason",
  "ship"
]
RAG → LLM → PRODUCTBUILD / TEST / SHIP
RAGGrounded knowledge systems
NLPText intelligence pipelines
AgentsTool-using AI workflows
CloudDocker · AWS · CI/CD

SELECTED WORK

Built beyond the demo.

Selected systems with a focus on architecture, reliability, evaluation and deployment — not just model demos.

02 / NLPNLP · LLM · RAG

AI-NLP-Studio

Unified NLP workspace for sentiment, emotion, NER and zero-shot classification, extended with LLM and document Q&A workflows.

TransformersPyTorchOllamaChromaDBLangChain
03 / SPEECH AIMeeting Intelligence

MeetingMind AI

Turns meeting audio into transcripts, summaries, decisions, action items and exportable reports using speech recognition and LLMs.

WhisperLangChainLLMsStreamlit
04 / AGENTSAutomation

AI Email Sender Automation

Natural-language email workflow using n8n, AI agents/providers and Gmail tooling to generate and send structured messages.

n8nGroqGeminiGmail
05 / SOFTWARE + AICode Modernization

AI Code Migration Platform

AI-assisted Python → Modern C++20 migration pipeline with compilation, execution, benchmarking, evaluation and reporting — treating generated code as software that must be validated.

Python→LLM→C++20→Compile→Benchmark
PythonGroqOllamaC++20PytestClean Architecture
06 / MULTI-AGENTCrewAI

AI Content Research Crew

Multi-agent workflow that researches a topic, gathers sources and produces structured LinkedIn content with specialized agents.

CrewAIGeminiSerperAgents

WHAT I CAN BUILD

AI that solves a business problem.

From a focused prototype to a deployable internal tool, I work across the full application layer.

01

Private RAG Assistants

Chat with internal PDFs, SOPs, policies and knowledge bases with grounded retrieval and citations.

RAG · Embeddings · Vector Search · LLMs
02

AI Workflow Automation

Automate repetitive business tasks with n8n, agents, APIs, email and structured data workflows.

Agents · n8n · APIs · Gmail
03

NLP Applications

Build practical text intelligence for classification, sentiment, emotion, entities and document understanding.

Transformers · PyTorch · NLP
04

Production AI Engineering

Containerize, test and deploy AI applications with clean modular architecture and cloud workflows.

Docker · Pytest · AWS · CI/CD

ENGINEERING STACK

Tools are secondary. Architecture matters.

AI / ML
PythonScikit-learnTensorFlowPyTorch
Generative AI
RAGLLMsLangChainEmbeddingsAgents
Providers
OllamaGroqGemini
Apps
StreamlitGradioSQLiten8n
Cloud / DevOps
DockerAWS ECSECRFargateGitHub Actions

ENGINEERING PRINCIPLES

  • Separation of responsibilities
  • Dependency abstraction
  • Testable components
  • Secure configuration & secrets
  • Containerized delivery
  • Automation over manual steps

ABOUT THE BUILDER

From ML experiments to production-minded AI.

I build AI applications that connect models to useful software — not just notebooks. My work spans classical ML, NLP, LLM applications, RAG pipelines, agentic workflows and deployment.

I care about the layer between an idea and a reliable product: clear interfaces, modular components, tests, secrets management, containerization and repeatable delivery.

ML→NLP→LLM→RAG→Agents→Production

LET'S BUILD

Have an AI problem worth solving?

Tell me what you are trying to automate, search, summarize or build. I can help turn the idea into a working AI system.

Open to freelance projects, collaborations and AI engineering opportunities.