Dec 2023 – Dec 2024 · 1 yr · Bangalore · On-site

• By using Gen AI, NLP, and Computer Vision, I help clients at different levels. These include bringing clarity to their problems and the role of AI/SW in solutionizing; initial research and exploration; prototype building; productionizing and maintaining solutions.

Oct 2022 – Nov 2023 · 1 yr 1 mo

• Working on Student Enrollment & Graduation Success Knowledge graph solution with help of Neo4j Graph DataScience Library and custom BERT solutions for the course and job recommendations for students.
• Working on the credit transfer evaluation system to map student courses to applied university program courses to find optimal programs and maximize credits transfer ensuring higher enrollment and graduation chances. Used skillBert & Skillspanbert models to extract skills and JobBert to provide personalised job recommendations for students. Graph embeddings were created using the Graphsage & Sentence transformer.
• Fine-tuned text-tabular multimodal transformer to handle textual, numerical and categorical multimillion-sized datasets for the downstream task of credit transfer with 99% skewness and achieved 94% accuracy which has the potential to reduce operations cost by 85% and turnaround time from 9 days to 2 days.

Jan 2022 – Sep 2022 · 8 mos

• Worked on an Online Exam proctoring product to monitor suspicious activities both using AI and Human-in-loop solutions with help of multiple computer vision models.
• A major contribution is by creating AI, Human-in-loop, and management dashboards with Bigquery and Google data studio with scalable ETL pipelines.

Sep 2021 – Dec 2021 · 3 mos

• Creating google doc plugin for Document Writing Mentor tool using google apps script to help students applying for Masters & editors to analyze grammar and content suggestions helping them Improve Statement of Purpose and Essays.

Dec 2020 – Sep 2021 · 9 mos · Mumbai, Maharashtra, India

• Worked on Train Ticket Cancellation Protection product. Trained ML models on Indian railway bookings data to provide accurate price offers to Railofy customers for last-minute cheaper alternatives like flights, buses and deployed Flask app with AWS ECS. Used elastic search and kibana to visualize and analyze data.

Jul 2020 – Nov 2020 · 4 mos

• *Working on automating the inventory counting and optimizing operations in multiple warehouses while eliminating picking and shipping errors by leveraging AI computer vision techniques for an American IT service provider of a global FMCG firm using Azure as a cloud eco-system.

Jun 2018 – Jun 2020 · 2 yrs

• Developed Deep-Learning based solution for an American Healthcare products manufacturer for disease classification on medical images using compact model architectures and custom logics with Keras framework and deployed using both TFLite based on-Edge and GCP based on-cloud methods.
• Developed Graph Theory based solution for a multi-national enterprise software company using graph algorithms such as graph clustering and matching and deployed using the AWS ecosystem.
• Developed NLP solution of Healthcare Knowledge Graph for an American Pharmaceutical company. Using spaCy as a framework built custom NER(Named Entity Recognition) and Relation Extractor and deployed using Graph Commons with Neo4j graph database.

Jan 2018 – May 2018 · 4 mos

• Developed Computer-Vision solutions for a Global Beverage Giant on the facial dataset and deployed the serverless architecture for on-edge setup using AWS S3 web-hosting and CloudFront. Used Tensorflow.js for processing Machine learning models in the browser.
• solution components: Face Recognition, Face Detection, Landmarks Detection, Demographic attributes - Age, Gender, Ethnicity and Emotion
• Convolutional Neural Networks experimented: Squeezenet, MobileNets, FaceNet, Inception-Resnet, Yolo-v2 etc.

Jun 2016 – Jul 2016 · 1 mo · Sonipat

• Internship in Web Development, Completed project ‘Global IT Support Portal’ using Java (Spring MVC & Hibernate) and CMS [ERP based Apps] using Php.

Jan 2016 – Jan 2016 · 0 mo · Noida Area, India

• Learned Android Application Development
• Secured grade A+
• Awarded as Star Of the Week