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.

PythonLLMC++20CompileBenchmark
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.

MLNLPLLMRAGAgentsProduction

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.