Senior Machine Learning Engineer
Specialized in Agentic AI, RAG Systems, and Advanced LLM Technologies with 7+ years of experience building scalable AI solutions
Get In TouchExpert in designing and implementing sophisticated multi-agent systems using CrewAI and DSPy. Specialized in complex decision-making workflows, intelligent orchestration, and DeepSeek reasoning for multi-hop problem solving.
Advanced expertise in Retrieval-Augmented Generation systems, vector databases, and semantic search. Implemented enterprise-grade RAG pipelines with prompt caching strategies reducing inference costs by 70%.
Comprehensive experience in PEFT, LoRA, quantization, and model distillation. Successfully fine-tuned LLaMA, Mistral, and Claude models with custom datasets achieving 81% accuracy improvements in complex NLP tasks.
Deep expertise in audio processing and speech recognition using Whisper AI. Built production-ready voice-enabled applications with real-time transcription and multi-language support.
Specialized in implementing advanced techniques to reduce model hallucinations through prompt engineering, retrieval verification, and multi-step validation frameworks ensuring reliable AI outputs.
3.5 years as MIT Deep Learning Mentor, specializing in transformers, transfer learning, and advanced neural architectures. Guided 100+ students through complex AI projects and research initiatives.
Leading advanced AI initiatives with focus on LLM fine-tuning, multi-agent systems, and RAG implementations. Achieved significant cost reductions and accuracy improvements through cutting-edge ML techniques.
Developed GenAI-powered recommendation systems and led full-cycle AI initiatives from concept to production deployment.
Specialized in fraud detection systems and model optimization, achieving significant improvements in accuracy and performance.
Sharing insights and breakthroughs in AI, Machine Learning, and emerging technologies through in-depth technical articles and research publications.
Advanced strategies for optimizing Claude Opus 4 performance while dramatically reducing operational costs.
Deep dive into advanced prompt caching strategies and batch processing techniques that can reduce LLM inference costs by up to 90%. Covers practical implementation with real-world performance benchmarks.
Read ArticleRevolutionary approach to RAG systems with autonomous agents and intelligent decision-making capabilities.
Comprehensive exploration of next-generation RAG systems that incorporate autonomous agents for intelligent retrieval, reasoning, and response generation with unprecedented accuracy.
Read ArticleAnalysis of Google's breakthrough multimodal AI model combining visual and audio generation capabilities.
Technical breakdown of Google's Veo 3 architecture and its groundbreaking approach to synchronized audio-visual content generation, with implications for the future of multimodal AI.
Read ArticleComprehensive evaluation of Anthropic's Claude 4 capabilities and performance benchmarks.
In-depth technical analysis of Claude 4's architecture, performance benchmarks, and real-world applications across various domains including reasoning, creativity, and problem-solving.
Read ArticleDetailed comparison between DeepSeek and Llama 3 models with performance analysis and use-case recommendations.
Comprehensive head-to-head comparison of DeepSeek and Llama 3 across multiple dimensions including reasoning capabilities, cost-effectiveness, and real-world application performance.
Read ArticleExploring how modern LLMs are revolutionizing cross-cultural communication and breaking down language barriers.
Analysis of how advanced language models are enabling seamless global communication, with case studies on multilingual capabilities and cultural context understanding.
Read ArticleInvestigation into DeepSeek's strategic partnerships and their impact on the AI ecosystem.
Deep dive into DeepSeek's collaborative approach and strategic partnerships, analyzing how these alliances are shaping the future of language model development and deployment.
Read ArticleExploring the implications of hyper-personalized AI and the future of human-AI interaction.
Comprehensive look at how modern LLMs are achieving unprecedented levels of personalization, the technologies behind hyper-AI, and the ethical considerations of deeply personalized AI systems.
Read ArticleLLM Personalized Chat Experience
Custom fine-tuned GPT chatbot deployed with FastAPI and Hugging Face Inference API. Integrates advanced prompt engineering and domain-specific instruction tuning to enhance accuracy and engagement.
Autonomous Assistant Builder with LLMs
Build custom AI agents on demand by simply describing their purpose. This project dynamically generates agent personas using LLMs, configures tool access, and enables autonomous reasoning via prompt templates and memory buffers.
Video Dataset Pipeline for Generative AI
A production-grade interface to build, curate, and prepare large-scale video datasets for training generative models. Simulates real-world creative pipelines by supporting scalable ingestion, filtering, scoring, and deduplication workflows.
Instant Machine Learning Insights from Raw Data
Upload your dataset and instantly uncover machine learning insights. This tool automates data profiling, feature detection, model suggestions, and visual analytics—making ML exploration accessible without coding.
Command vs AI Prompt Detection Engine
A lightweight RAG-powered tool that classifies whether an input string is a terminal command or an AI prompt. Uses transformers for semantic understanding, and is built for tech-savvy AI users and developers.
Interactive Memory Game with AI Elements
A responsive, web-based memory card game showcasing React, animation, and game state logic. Explores reinforcement learning concepts and gamified logic foundations.
AI-Powered Cryptocurrency Analysis Platform
Advanced cryptocurrency analysis platform leveraging multi-agent RAG systems and real-time market data processing. Implements sophisticated prompt engineering and caching strategies for optimal performance and cost efficiency.
Intelligent Search with Agentic RAG
Next-generation search engine powered by agentic RAG architecture, semantic understanding, and advanced retrieval mechanisms. Features multi-hop reasoning capabilities and hallucination reduction techniques for reliable results.
AI-Driven Business Analytics Platform
Comprehensive business intelligence platform utilizing fine-tuned LLMs, predictive modeling, and automated insights generation. Integrates advanced MLOps practices with scalable microservice architecture for enterprise deployment.