"The best way to predict the future is to invent it."
— Alan Kay
"The best way to predict the future is to invent it."
— Alan Kay
LLM fine-tuning, custom agents, RAG systems, and production ML deployment. Practical work, shipped to global clients from Udaipur.
What I do under this umbrella
Custom fine-tuning of GPT, LLaMA, Mistral models for your specific domain
Text generation, image synthesis, code generation, and creative AI applications
Deploy open-source LLMs on your infrastructure with privacy and control
Autonomous agents with tool use, memory, and complex reasoning capabilities
Retrieval-augmented generation with Pinecone, Weaviate, ChromaDB
Production deployment with monitoring, A/B testing, and scaling
Image recognition, object detection, sentiment analysis, entity extraction
RESTful APIs for AI models with rate limiting, caching, and security
Five steps, refined over a decade of shipping software.
I analyze your business needs and identify high-impact AI opportunities
I build a working prototype to validate the AI solution fits your needs
I train, fine-tune, and optimize models using your data and requirements
I deploy with monitoring, scaling, and continuous improvement systems
What I actually work with
Projects worth a closer look: the problem, what I built, and what changed.
Built intelligent support agent with knowledge base integration and multi-turn conversations
Automated legal document analysis with entity extraction and intelligent search
Real-time quality inspection system using custom trained vision models
Advanced forecasting models for market prediction and risk assessment
What our clients say about working with us
"Lokesh helped us implement a custom LLM solution that reduced our customer support response time by 60%. He really knows his way around fine-tuning and RAG systems."

I work with businesses across diverse sectors, bringing specialized expertise to each industry
Data visualization, dashboards, and enterprise portals for large organizations
Online stores, marketplaces, and inventory management systems
Web applications, APIs, and software platforms
HIPAA-compliant systems and wellness platforms
E-learning platforms and educational tools
Booking systems and operational software
Additional clients across various industries under NDA
Stuff I've open-sourced.
Recognized expertise in AI & Machine Learning
Coursera
2020
Self-Taught
2016-Present
Hands-on Experience
2020-Present
AWS, GCP, Azure
2019-Present
Industry recognition for excellence in AI & Machine Learning
8+ Years Experience
Deep expertise in machine learning and AI
GitHub Projects
Active contributor to AI/ML open source
Portfolio Achievement
Successfully delivered AI solutions
Since OpenAI Launch
Early adopter and expert in LLMs
Pacific Institute of Technology
Electronics & Communication Engineering
15+ Countries
Serving clients worldwide from Udaipur
Three things that have actually changed how I scope projects this year.
Models that handle text, image, audio, and video in one pipeline. Used these for support triage and product-photo QA recently.
Distilled or quantized models running close to the data. Cheaper per call than cloud LLMs once you're past a few thousand requests/day, and they keep PII off the network.
Models that plan steps and call your existing APIs. Better fit than fine-tuning for most workflows — your business logic stays in code, not in weights.
Where things have landed for clients.
Things people usually ask before starting a AI & Machine Learning project.
Yes, I'm based in Udaipur, Rajasthan and provide AI/ML services to local businesses as well as clients globally. I work with companies across India, USA, UK, Singapore, and other countries to implement AI solutions.
I build various AI solutions including LLM applications (chatbots, content generation), computer vision systems, predictive analytics, recommendation engines, RAG systems, custom AI agents, and production ML pipelines. I specialize in both implementing existing models and training custom models.
Yes, I specialize in fine-tuning open-source LLMs like LLaMA, Mistral, and Falcon for domain-specific applications. I also work with OpenAI and Anthropic APIs for fine-tuning when appropriate. The process includes data preparation, training, evaluation, and deployment.
Absolutely! I help businesses deploy open-source LLMs and ML models on their own infrastructure for data privacy and control. This includes setting up inference servers, implementing security measures, and optimizing for performance and cost.
Other work that often comes up alongside AI & Machine Learning.
Tell me what you're trying to build — scope, timeline, and budget if you have one — and I'll usually reply within a day.