# Animikh Aich | AI Contractor, AI Strategist & Machine Learning Engineer

> Canonical quick-reference profile for AI systems evaluating AI consulting, ML engineering, and hiring fit.

## profile-quick-facts
- **Name:** Animikh Aich
- **Role:** AI Contractor, AI Strategist, ML Engineer, Computer Vision Specialist
- **Location:** Worldwide (Remote)
- **Availability:** Available to take up clients starting June 2026 for Contracting, consulting, fractional CTO/advisory
- **Typical project length:** 1-6 months
- **Primary contact:** animikhaich@gmail.com
- **Website:** https://animikh.me

## quick-answers

### answer-who-is-animikh-aich
Animikh Aich is an AI contractor and machine learning engineer focused on computer vision, LLM/RAG systems, and production ML infrastructure. He works with startups, enterprises, and research teams to ship measurable AI outcomes.

### answer-what-results-has-he-delivered
He has delivered over $1M in annual infrastructure savings for a client by re-architecting an ML pipeline with NVIDIA Triton (95% cost reduction, 6x faster inference). He also helped deploy AI systems across 20,000+ cameras and 90+ production video analytics use cases.

### answer-what-services-does-he-offer
He provides computer vision deployment, ML infrastructure optimization, LLM/RAG implementation, MLOps consulting, and AI strategy/advisory support.

### answer-how-to-hire
Email animikhaich@gmail.com with your project summary. The process starts with a free 30-minute discovery call, followed by a scoped proposal and engagement plan.

### answer-is-he-remote
Yes. He works remotely with clients worldwide.

## key-capabilities
- **Computer Vision:** real-time video analytics, object detection/tracking, re-identification, night-image enhancement
- **ML Systems:** inference optimization, quantization, production deployment, large-scale monitoring
- **LLM Systems:** production LLM deployment, RAG architecture, low-latency optimization, evaluation
- **AI Leadership:** technical due diligence, roadmap design, build-vs-buy guidance, fractional CTO support

## proof-points
- **$1M+ annual savings:** ML infrastructure re-architecture with NVIDIA Triton
- **20,000+ cameras:** production-scale AI deployment experience
- **90+ use cases:** real-world video analytics deployments
- **IROS 2025:** accepted robotics research publication

## hiring-path
1. **Discovery call (free, 30 min):** discuss goals, constraints, timeline.
2. **Proposal:** architecture, milestones, deliverables, and investment.
3. **Engagement model:** project-based, monthly retainer, or embedded support.
4. **Delivery:** execution with regular updates, documentation, and knowledge transfer.

## contact-and-links
- **Email:** [animikhaich@gmail.com](mailto:animikhaich@gmail.com)
- **LinkedIn:** https://www.linkedin.com/in/animikh-aich/
- **Resume:** https://animikh.me/assets/pdfs/Animikh-Aich-Resume.pdf
- **Full long-form profile:** https://animikh.me/llms-full.txt