Passionate about building smart AI & ML solutions, from LLMs to RAG pipelines, I craft systems that turn complex problems into simple, actionable insights. Always exploring the edge of innovation, I thrive on making data-driven intelligence practical and impactful.
Core competencies in AI and machine learning
Creating AI solutions that automate complex processes and enhance decision-making
Building autonomous AI agents that can reason, plan, and execute complex tasks independently
Exploring cutting-edge generative models for innovative AI applications
Latest AI and machine learning innovations
Industrial-grade table extraction and Q&A platform powered by AI for automated document processing.
Intelligent travel planning system that provides personalized recommendations and itinerary optimization.
Sophisticated document analysis platform with intelligent question-answering capabilities using RAG architecture.
Smart document information extraction system using advanced NLP and computer vision techniques.
Career journey in AI and machine learning
Yash Technologies
EagleLens.ai
Engineered the EagleLens.ai forecasting module to predict cloud spending trends, supporting strategic budget planning for onboarded enterprise clients. Formulated the creation of cost-saving agents, automating recommendations that reduced unnecessary cloud expenditure by 28% and recovered significant budget. Orchestrated scalable ML workflows for data processing and model development, achieving an 80% prediction accuracy in forecasting client cloud spending trends.
Neupac.ai
Architected an agent-to-agent (A2A) communication framework for Neupac, Yash’s proprietary AI platform, enabling autonomous coordination between multiple agents. Devised mechanisms for real-time context sharing and collaborative decision-making across multi-step industrial and data-driven tasks, improving workflow orchestration by enabling agents to exchange task state, align on outputs, and execute actions in a coordinated manner.
dooritt
Developed a dual-purpose AI assistant (Oora.ai) leveraging RAG pipelines for legal document analysis and real estate insights, supporting both scanned PDFs and editable documents with seamless accuracy. Built robust Python backend infrastructure using LangGraph, with document processing, vector storage, geocoding, location intelligence, property data routing, and Neo4j integration for efficient query performance. Implemented WebSocket-based real-time communication and multi-modal AI workflows, delivering comprehensive property insights and an enhanced user experience.
Supersourcing Technologies • LinkedIn Top 20 Startup
Leading end-to-end development of GenAI applications with expertise in RAG pipelines, vector databases, and LLM integration, focusing on prompt engineering, fine-tuning, and model optimization for enterprise-grade AI solutions.
Fixxlink Pvt. Ltd
Developed and implemented an LSTM-powered sign language translation system, achieving a 10% accuracy improvement through strategic data augmentation. Engineered a real-time sign language translation pipeline utilizing deep learning, and designed a user-friendly interface to enhance accessibility for the deaf and mute communit
Ready to collaborate on the next big AI project
I'm always excited to discuss new opportunities and innovative projects. Whether you have a question about my work or want to collaborate on something amazing, feel free to reach out!
monishkanungo23@gmail.com