Presentation
My expertise includes building AI-powered solutions using large language models, prompt engineering, document processing, OCR, information extraction, Named Entity Recognition (NER), text classification, semantic search, vector databases, and retrieval pipelines. I have experience working with technologies such as LangChain, LangGraph, LLaMA-based models, Ollama, vLLM, Hugging Face, FAISS, ColBERT, sentence-transformers, and other modern AI frameworks.
I can develop end-to-end RAG systems that process documents, extract relevant information, retrieve accurate content, and generate reliable responses using LLMs. I also work with structured and unstructured data, API development using FastAPI, database integration, multiprocessing, and performance optimization for AI workloads.
In addition to AI/ML development, I have experience developing cross-platform mobile applications using Flutter and Dart, including application architecture, state management with BLoC, Firebase integration, REST API integration, and production-ready application development.
What sets my services apart is my focus on practical, scalable, and reliable solutions. I combine software engineering practices with AI capabilities to transform business requirements into working applications and intelligent automation solutions. I prioritize clean implementation, accuracy, performance, maintainability, and solutions that can be integrated into real-world production environments.
Background
Responsibilities
Developing AI-powered insurance document processing solutions.
Building medical information extraction pipelines using PaddleOCR.
Developing Retrieval-Augmented Generation (RAG) solutions.
Working with Vertex AI and Large Language Models for intelligent document understanding.
Implementing vector search using ChromaDB.
Building LangChain workflows for AI applications.
Performing prompt engineering and LLM optimization.
Developing NLP pipelines including NER and Text Classification.
Working on Deep Learning, SVM and Data Mining models.
Deploying AI applications on AWS.
Collaborating with product teams to integrate AI services.
Optimizing OCR accuracy through image preprocessing.
Impact
Built scalable AI document processing workflows.
Automated extraction of medical information from insurance documents.
Improved document search using RAG architecture.
Reduced manual processing through intelligent automation.
Successfully deployed AI workloads on AWS.
Project
Duration
Role
Technologies
Insurance Document Intelligence Platform
Jan 2025 – Present
Lead AI/ML Engineer
Vertex AI, RAG, PaddleOCR, ChromaDB, LangChain, AWS, Python
TOC AI Assistant (LLM Platform)
Mar 2024 – Dec 2024
AI/ML Engineer
VLLM, Ollama, LLaMA, Groq, Python, TensorFlow
Responsibilities
Developed Flutter applications for Android, iOS and Web.
Built Employee Portal, Patient Portal and Clinical Research applications.
Developed Ticketing System and RealServ applications.
Implemented Flutter BLoC architecture.
Integrated REST APIs and Firebase services.
Collaborated with UI/UX and backend teams.
Developed reusable Flutter packages.
Worked with Dialogflow and Selenium automation.
Published Flutter packages on pub.dev.
Maintained production mobile applications.
Impact
Delivered multiple production applications.
Improved application maintainability using reusable components.
Published open-source Flutter packages.
Received Spot Award for outstanding contribution.
Employee Portal (HRMS)
Mar 2024 – Aug 2024
Flutter Developer
Flutter, Dart, Firebase, BLoC
Patient Portal
Apr 2024 – Jul 2024
Flutter Developer
Flutter, Firebase, REST API, BLoC
Flutter Bootstrap
Jun 2024 – Jul 2024
Flutter Developer
Flutter Web, Bootstrap 5
Adamsbridge Ticketing System
Jan 2024 – Mar 2024
Flutter Developer
Flutter, Firebase, BLoC
BB Clinical Research
Aug 2023 – Dec 2023
Flutter Developer
Flutter, Firebase
RealServ
Apr 2023 – Jul 2023
Flutter Developer
Flutter, REST API
Employee Portal (Aosta)
Oct 2022 – Mar 2023
Flutter Developer
Flutter, Firebase
BackBone DoctorDesk
Mar 2022 – Sep 2022
Android Developer
Java, Android Studio, Jitsi
DialogFlow Chatbot
Jan 2022 – Mar 2022
Python Developer
DialogFlow, Flask, Firebase
Selenium Automation Framework
Nov 2021 – Jan 2022
Python Developer
Selenium, Python, Postman
The institution encourages innovation, problem-solving, teamwork, and hands-on experience, helping students build a strong foundation for their professional careers. It provides education across various engineering and technology disciplines and promotes both technical knowledge and overall personal development.
This seminar provides a beginner-friendly introduction to **Docker and containerization**, designed for participants with little or no prior experience with Docker.
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The seminar also introduces practical concepts such as **creating and running containers, building Docker images, managing containers, using Docker Hub, exposing ports, and working with basic Dockerfiles**. Real-world examples and hands-on demonstrations will be used to make the concepts easy to understand.
By the end of the seminar, participants will have a clear understanding of Docker fundamentals and will be able to create, run, and manage basic Docker containers for application development and deployment.

