Senior Machine Learning Engineer

• Aug 2023 - Present

Senior Software Engineer - Machine Learning

• Jan 2023 - Aug 2023

Engineered various project elements including data pipelines and data ingestion procedures, employing ETL tools like Matillion, Talend, and Snowflake DB. Developed and orchestrated machine learning pipelines, utilizing AWS services such as Amazon SageMaker, Lambda Functions, and Docker, to automate deployment processes for enhanced efficiency and seamless deployment of models. Engineered various project elements including data pipelines and data ingestion procedures, employing ETL tools like Matillion, Talend, and Snowflake DB. Developed and orchestrated machine learning pipelines, utilizing AWS services such as Amazon SageMaker, Lambda Functions, and Docker, to automate deployment processes for enhanced efficiency and seamless deployment of models.

Research Assistant

• Sep 2022 - Dec 2022

Research Assistant with the Conversational AI Labs at University at Buffalo under Prof. Rohini K. Srihari. Research currently focused on AI for Social Good to combat deception and scams using Conversational AI chatbots. - Natural Language Processing, Understanding, and Generation Research Assistant with the Conversational AI Labs at University at Buffalo under Prof. Rohini K. Srihari. Research currently focused on AI for Social Good to combat deception and scams using Conversational AI chatbots. - Natural Language Processing, Understanding, and Generation

Software Engineer Intern - Machine Learning

• May 2022 - Aug 2022

Enhanced Video Recommendations: Led improvements in Facebook's Discovery Engine for Live Videos, utilizing Two Tower Sparse Neural Network for user-video collaboration. Resulted in heightened watch time and user engagement via effective embeddings. Data-driven Optimization: Identified critical features, sourced data from feature store, and integrated factors like comments, likes, and view count for model refinement. Effective Model Training: Trained recommendation models in ML Workbench, yielding user and video embeddings stored in Scribe and Laser index. Led to notable enhancements in watch time and engagement metrics. Streamlined Recommendation Process: Conducted experiments, validated hypotheses, and streamlined recommendation process. Significantly reduced wasLive watch time while maintaining effectiveness. Personalized Recommendations: Enriched User Interest Profile by incorporating comprehensive engagement data from live and all videos. Resulted in more accurate and personalized user recommendations. Optimized Infrastructure: Successfully migrated live video generators to a dedicated Live Subgraph, enabling real-time experiments, resource efficiency, and enhanced productivity. Show less

Graduate Teaching Assistant

• Feb 2022 - May 2022

EAS 595 - Fundamentals of Artificial Intelligence EAS 595 - Fundamentals of Artificial Intelligence

Senior Software Engineer

• Apr 2021 - Aug 2021

Leading development of Machine Learning projects in Data Science Practice for leading US based MNC -Design and development of Machine Learning models to increase the accuracy of the linkages between trading contracts, invoices and payments involving various Feature engineering techniques, NLP and Machine Learning techniques so as to provide real-time data exchange, translation, and transformation.

Software Engineer

• Jul 2019 - Apr 2021

Conducted document classification and information extraction through Machine Learning and OCR tools; also crafted serverless Python APIs using AWS Lambda.Pioneered real-time hedge fund tracking and analysis, establishing a pipeline for historical data extraction, calculations, and metrics generation, earning the Xoriant Innovate Award; employed Azure Functions, Cosmos DB, and Python.Led Data Science efforts at KPMG Spectrum, innovating third-party risk assessment with ML and NLP solutions; clinched the Xoriant Stars Award; employed Python, AWS Lambda, ML, NLP, Doc2Vec, SVM, and DBSCAN. Show less

Associate Software Engineer

• Jul 2018 - Jul 2019

Successfully completed Springboard training in 2018, covering a range of technologies like Angular 4, TypeScript, Python, Java, MongoDB, GIT, and Linux.Transferred to the Data Science Team, developing analytical solutions and proof of concepts for tangible business problem-solving. Also attended training on AWS services by Amazon experts and engaged in projects including Complexity Management and migration from GCP BigCloud to AWS Redshift.

Software Developer Internship

• May 2017 - Apr 2018

- Worked on an admin panel for Homely, an application that caters to connecting users to Home-chefs, under Mango Revolutions. - Built entire website in PHP using the Laravel Framework. - Designed and developed Front End was created using Bootstrap, HTML, CSS - Database used was MySQL - Each user had specific rights based on their access level. - Worked on an admin panel for Homely, an application that caters to connecting users to Home-chefs, under Mango Revolutions. - Built entire website in PHP using the Laravel Framework. - Designed and developed Front End was created using Bootstrap, HTML, CSS - Database used was MySQL - Each user had specific rights based on their access level.

Project Trainee

• Feb 2017 - Jun 2017

Worked as an intern at TCS for 5 months at TCS Innovation labs. Developed an Android application for Persona Repository. Technologies: Android, Java , XML , SQLite Worked as an intern at TCS for 5 months at TCS Innovation labs. Developed an Android application for Persona Repository. Technologies: Android, Java , XML , SQLite