Abhilash V J
Development
Kerala, India
Skills
Machine Learning (ML)
About
Abhilash VJ's skills align with IT R&D Professionals (Information and Communication Technology). Abhilash also has skills associated with Programmers (Information and Communication Technology). Abhilash VJ has 7 years of work experience.
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Work Experience
Senior Software Engineer
Hexaware Technologies
May 2021 - March 2022
- 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
Innovation Incubator, Thiruvanathapuram
April 2019 - February 2021
- Worked on Data Extraction from documents with OCR and Chat bot projects. 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 cordinates 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 neighbour and collaborative filtering based Recommender systems for Automotive domain 1/3
Thiruvanathapuram, Associate Consultant in Artificial
Applexus Technologies
November 2017 - March 2019
- Intelligence R&D Worked on Analytics projects. Projects: {Computer vision: face detection and recognition, image retrieval, image segmentation, video analytics. Tools used dlib, opencv, keras and tensorflow. CNNS and U nets were used. {NLP: Pattern matching and extraction, sentiment analysis and chat bots. RNN LSTMS used in sequence classification, language modeling and question answer selection. {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.
Engineer in Artificial Intelligence R&D
Curvelogics Advanced Technology Solutions, Thiruvanathapuram, Automation
January 2017 - October 2017
- 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).
Freelance Remote work, Machine Learning Engineer
Turing
March 2022 - Present
- Managing the deployment and maintenance of Computer vision and NLP APIs Projects: {Computer vision: Document similarity, document classifier, and OCR models {NLP: Data extraction from documents, Summarization, LLM model finetuning, Prompting LLMs document retrieval, table retrieval, and QnA with huggingface Bert models and ANN DBs like Milvus {REST API: Rest APIs developed with FAST API to deliver the ML models, deployed on
Education
