Applied AI Researcher at BEU at Product Labs IIITH

Dec 2023 — Present

• Spearheaded the development of a cutting-edge, low-latency real-time speech-to-speech pipeline with an end-to-end architecture
• Led the optimization team, focusing on deploying and fine-tuning regional language LLMs using Triton for Gov of India.

Machine Learning Engineer, Quantiphi Inc

July 2020 — December 2023

• Provide ML and AI solutions to client and working on in-house research projects
• Designed and developed anomaly detection system to detect anomalous user behaviour leading to 60% reduction in manual effort
• Developed background replacement segmentation model with shadow for showroom leading to 30% improvement in user engagement.
• Developed End to End algorithm for fracture bones alignment and reconstruction, leading to 60% of automation in the process
• Predicted credit default risk on imbalanced data with almost 12% improvement over client’s in-house model.
• Built feature-store using AWS for client demo.
• Developed responsive Hotel-Booking chatbot with payment using GPT3 with 10% improvement in user engagement.
• Won Think Tank Award and Innovation Award R&D work.
• Mentored organization on new ML services & products launched in AWS Reinvent 2020.

Machine Learning Intern, Persistent, Pune

Jun 2019 — May 2020

• Worked as a project Intern for a year developing and patenting work on AUV for underwater plastic detection and cleaning
• Designed and Developed an Autonomous Underwater Vehicle capable of detecting and collecting underwater plastic.
• Developed object detection model with image augmentation for underwater plastic leading to 8% improvement in mAP.
• Filed a patent of the proposed Autonomous Underwater Vehicle for collecting underwater plastic
• Won Water Olympiad (University Level Project Competition) for the idea.

HackersDigital

April 2019 — May 2020

• Worked as Security Engineer.
• Built and automated installation of VM’s on client’s ESXI servers.
• Built loan collection application for client along with dashboard.

Student, B.E in Computer Engineering, SPPU

Jun 2016 — May 2020

Undergraduation in Computer Engineering from PCCOE Pune. Core learnings include Computer Vision, ML, Security, and other learnings include Neural Networks, Image Processing.