Welcome to my lab.

Engineering the Future with Applied Artificial Intelligence

Explore a curated collection of my AI demo projects, featuring custom-trained models, autonomous agents, and scalable cloud deployments. Bridging the gap between cutting-edge research and practical applications.

15+

Projects Built

3+

Autonomous Agentic Apps Deployed

3

Cloud Platforms Mastered

Engineering Production-Grade Agentic AI & LLM Solutions

Scaling multimodal RAG systems and fine-tuned VLMs that drive 90%+ cost efficiency and sub-500ms latency

Custom VLM Fine-Tuning

Distilling 70B+ models into efficient 2-3B parameters for domain-specific tasks like fashion tagging.

High-Efficiency Inference

Optimizing model architectures (MoE, MLA) and pipelines to achieve consistent sub-500ms latency.

Scalable Cloud Infrastructure

Productionizing AI on AWS SageMaker and GCP Cloud Run with robust data guardrails.

Agentic Framework Mastery

Building complex backends using Langchain, Google ADK, and multi-agent hierarchical routing.

Multimodal RAG Systems

Semantic text-to-image retrieval pipelines handling millions of fashion assets via ChromaDB.

Cost-Driven AI Engineering

Delivering 85-92% reduction in inference costs through quantization and QLoRA techniques.

Success Stories

See what our customers are saying about us

Efficiency & Model Distillation

Successfully distilled large-scale 70B+ parameter vision-language models into high-efficiency 2-3B models for production-grade attribute prediction. Achieved a consistent 85-92% reduction in operational costs while maintaining sub-500ms inference latency for real-time applications.

Agentic Orchestration & Scale

Engineered a production-ready multi-agent backend utilizing hierarchical routing to manage 7+ specialized sub-agents across research, coding, and commerce domains. Implemented session-isolated RAG pipelines and real-time SSE streaming integrated with five major LLM providers via LiteLLM.

E-commerce Pipeline Optimization

Deployed automated vision pipelines processing millions of fashion images to generate brand-aligned, SEO-optimized product descriptions and metadata. Scaled tag generation infrastructure on AWS Lambda and DynamoDB, resulting in a measurable increase in client satisfaction from 80% to 95%.

Multi-Agent SEO Orchestration

Built an automated editorial team using a smart graph. Seven AI agents collaborate: one researches, one outlines, and a writer creates the text. A digital editor scores every draft. If the SEO score is under 80, it triggers a rewrite until it's perfect.

AI Solutions by Complexity

Engineering scalable AI solutions that move beyond the POC, delivering 90%+ cost efficiency and high-performance inference.

Prototypes & POCs

Rapid validation of LLM-based ideas.

Basic LLM integration
LangChain/LlamaIndex apps
Streamlit/FastAPI demos
Standard Document RAG
API-driven chatbots
In Production

Production Scaling

Optimized AI for high-traffic environments.

LLM/VLM Fine-tuning (QLoRA)
85-92% cost reduction
Sub-500ms latency optimization
Agentic AI pipelines
Scalable AWS/GCP deployment

Bespoke Ecosystems

Multi-agent systems for industry verticals.

Multi-agent orchestration
Custom Multimodal RAG
Fashion Vision Pipelines
Large-scale H100 Training
Custom Vector DB Search

The Engineering Ecosystem

My experitise in production-ready toolkits for building, scaling, and deploying multimodal AI.

Bridging the gap between frontier AI research and high-efficiency production reality.