Sep 2024 – Jan 2025 · 4 mos · Bengaluru, Karnataka, India

Nov 2023 – Sep 2024 · 10 mos · Bengaluru, Karnataka, India

• Tech Lead Manager
• Manage a team of talented Machine Learning Engineers and AI residents, from engineering management to recruitment, screening, interviewing and hiring.
• Lead the development of core models for tasks relating to Conversational AI, Semantic Search and Workflow orchestration to create Agentic AI systems
• Architect the design of various machine learning models required for support different product experiences using both Generative AI and Discriminative models
• Lead client deliverables, client interfacing for requirement understanding, product development, overall ML dev cycle to support model launch for feature rollout.
• Lead ML hiring for Ema India

Jul 2023 – Nov 2023 · 4 mos · Bengaluru, Karnataka, India

Jan 2022 – Jul 2023 · 1 yr 6 mos · Menlo Park, California, United States

• Tech lead for Facebook Marketplace Search for the query understanding projects, working on state of the art Machine Learning models and Natural Language Processing techniques to improve the Facebook Marketplace and Facebook Search.
• Driving the development of ML models for Intent Understanding, Entity Tagging, Query Categorization, Search Typeahead-auto-complete and query suggestion modeling for global Facebook Search and Fb Marketplace search.

Aug 2020 – Jan 2022 · 1 yr 5 mos · Menlo Park, California, United States

• Facebook Conversational AI for Smart Devices: Facebook Portal, Oculus and Facebook Smart Glasses: Rayban Stories.
• Developed on-device solutions for text resolution to support smart communications and other product experiences like Music playback and WhatsApp Calling.
• Developed data models as part of Facebook Knowledge Graph and personalization models to support end-to-end product experiences.

Jul 2019 – Aug 2020 · 1 yr 1 mo · Menlo Park, California, United States

• As part of Facebook Conversational AI, work on developing machine learning models, analyzing data, processing features and integrating them into runtime stack to support different product experiences over the devices of Facebook Portal and Oculus.
• Work around Entity and Coreference Resolution, User Feedback Learning, Dialog Systems and Information Extraction from Knowledge graph in Facebook Assistant to launch the product functionalities of Whatsapp and Messenger Calling, Messenger Rooms, Music playback (over iHeartRadio, Pandora apps), Q&A and Smart reminders and alarms on Facebook Portal.

Jan 2019 – May 2019 · 4 mos · Ithaca, New York Area

• Worked as a graduate research assistant in a joint project venture of Cornell University and Google Inc.

Jan 2019 – May 2019 · 4 mos · Ithaca, New York Area

• Teaching assistant for the Course CS 4700: Artificial Intelligence

Jul 2017 – May 2018 · 10 mos · Hyderabad Area, India

Jan 2017 – Jun 2017 · 5 mos · Mumbai

• Message Console is an e-trading console application displaying all FX trades in real time. Developed and upgraded the existing application to support different views, filters, notifications and alerts to display trade details using Python and Enaml.
• Developed and deployed quickfix-j based client and server models over cloud micro-services (AWS) and added Financial Information eXchange protocol based communication features to existing services. Also, the project included building cucumber test platforms for retrieval of products over AWS.
• Configured an exchange simulator and developed an adapter for a new proprietary order gateway which communicates purely in Financial Information eXchange (FIX) protocol. The project at hand aimed to develop an API that communicates in FIX with the new order gateway which in turn sends messages to various FX exchanges.

Aug 2016 – Dec 2016 · 4 mos · Birla Institute of Technology and Science, Pilani

• Worked on different Deep Learning and Machine Learning techniques for sentiment analysis and opinion mining of code-mixed multilingual data. Implemented different Deep Learning Algorithms like CNN, RNN and LSTM for the purpose of sentiment analysis. Generated and published SentiWordNet Dictionaries for 13 Indian languages, with explicit polarity scores. Implemented machine learning algorithms for language detection and used SentiWordNet dictionaries for sentiment analysis.

May 2016 – Jul 2016 · 2 mos · Bangalore

• Worked in project 5G Communications, simulated coexistence of LTE with Wifi using Network Simulator-3 tool and analysed the difficulties faced and designed methods to overcome the same.
• Implemented the energy detection module using Dynamic spectral duty cycle method in the LTE modules of NS-3 as required for the proposed 5G model by 3GPP (standard organization for implementing 5G technology).
• Analysed and modified the variables affecting the throughput for Wifi with LTE coexistence as required in the proposed 5G model.

May 2015 – Jul 2015 · 2 mos · Mumbai

• Worked in project ChaloBEST, processed spreadsheet data of urban-mobility services (BEST) of Mumbai city into a PostgreSQL database and used it in constructing General Transit Feed Specification, a standard for any transit services platforms like Google Maps.