Headline

ML Engineer | Freelancer | Kaggle Expert

About

I believe in the transformative power of technology and hope I can be part of technologies that will have a greater impact on the world and our society.I think AI and robotics will have a great impact on our world in the near future and those are the areas that I am focused right now. I have worked with Python and MATLAB for implementing the machine learning algorithms.I have worked with Numpy, Pandas, Scikit-learn, Tensorflow, Keras for development of machine learning and deep learning projects.Experimented and explored different approaches and libraries for computer vision tasks like object detection and recognition and Natural Language Processing tasks like part of speech tagging and dependency parsing.I have studied and implemented algorithms for motion planning and computer vision in robotics, mostly simulations in MATLAB and ROS.

Location

Malappuram

AI stack

antigravity

codex

Work experience

AI Engineer at Turing.com, Mar 2022 - Present · 4 yrs 6 mos, Remote work, Managing the development and deployment of production Computer Vision, NLP, RAG, and GenAI systems across document intelligence, compliance automation, and agentic AI workflows. Agentic Architecture Review Platform • Built an agentic AI platform that automates architecture review intake, compliance verification, and structured review generation using FastAPI, LangGraph, and stateful agent orchestration. • Developed a multipple review agents that evaluates submissions against standards and processes from knowledge bases with traceable findings with rationale and evidence. • Engineered deterministic and resumable LangGraph workflows with shared state, conditional routing, retries, escalation paths, and human-in-the-loop checkpoints. • Exposed the platform through async FastAPI services for submission handling, review execution, status tracking, and result retrieval. Source-Grounded Document Verification & Regulatory AI • Built a source-grounded document verification system that validates regulatory and compliance content against retrieved evidence. • Developed advanced RAG pipelines using hybrid retrieval, dense and sparse search, RRF fusion, HyDE-style query expansion, adaptive chunking, and reranking over PostgreSQL/pgvector. • Deployed LLM serving infrastructure using vLLM on Kubernetes with GPU optimization and multi-provider model routing across OpenAI, Claude, Gemini, and DeepSeek. RAG Chatbots & Document Intelligence • Built document Q&A, table retrieval, document similarity, classification, OCR, summarization, and structured extraction systems using Hugging Face models, BERT-based pipelines, and vector databases such as Milvus. • Developed LLM-powered medical document extraction workflows that reduced manual data-entry effort and improved structured information capture from complex documents. GenAI Platforms & Developer Tooling • Built structured-data-extraction LLM workflows and GenAI applications for document automation and content generation.

Senior Software Engineer at Hexaware Technologies, May 2021 - Apr 2022 · 1 yr, Bengaluru, Karnataka, India, Worked on MLOps and API development with Django, Flask and Fast API Projects: Computer vision: Implemented planogram compliance POC for retail stores NLP: Toxic comment classification for Discord channels. Information retrieval and QnA with Elastic search and huggingface Bert models REST API: APIs to manage model deployment and visualization dashboards

AI Engineer at Innovation Incubator Advisory, Apr 2019 - Feb 2021 · 1 yr 11 mos, Thiruvananthapuram Taluk, India, Worked on Data Extraction from documents with OCR and Chat bot projects for medical insurance documents Projects: Computer vision: Implemented a fully CNN model to do OCR with CTC loss in keras NLP: OCR post processing with regex and ML model based data correction Data extraction from Forms, IDs and checks with word, bounding box coordinates and regex rules Machine Learning: Text field classification models Chatbots and Knowledge Base: Build and deployed chatbots in Rasa and Dialogflow with Grakn graph database Recommender systems: Nearest neighbor and collaborative filtering based Recommender systems for the Automotive domain

Associate Consultant at Applexus Technologies, Nov 2017 - Mar 2019 · 1 yr 5 mos, Thiruvananthapuram Taluk, India, Worked on Analytics projects Projects: Computer vision: face detection and recognition, image retrieval, image segmentation, video analytics NLP: Pattern matching and extraction, sentiment analysis and chat bots Deploying python flask applications on ec2 and automating ec2 deployment using python boto3 library from AWS Data Science: Data preparation, feature preprocessing, feature engineering, Exploratory data analytics, modeling and prediction and evaluation Machine Learning: Boosting and bagging based models for forecasting and classification Recommender systems

Automation Engineer at Curvelogics Advanced Technology Solutions Pvt Ltd, Jan 2017 - Oct 2017 · 10 mos, Thiruvananthapuram Taluk, India, Worked on Chat Bot and Computer Vision Projects with Deep Learning Projects: NLP: Chatbots on messenger. Using spacy and NLTK Computer vision: Face recognition, object detection and object classifiers Presented a session on deeplearning in a workshop on Datascience: from Sales Forecast to Cognitive Computing for Computer Society of India on Aug 5 2017 Robotics: Creating occupancy grid map, particle filter for localization. Robotic arm and motion planning for a robotic arm using Rapidly exploring Random Tree (RRT)

Education

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Cochin University of Science and Technology

Bachelor's Degree, Electronics and Commincation Engineering, College of Engineering Kalloopara