Prototyped and designed AI features, working closely with the CTO, Data Science, Product and Informatics teams. Prioritized robust design, scalability, and testing. Mentored new members onboarding development process.- Integrated generative models (e.g. GPT, prompt-based), NER solutions, and retrieval algorithms. Achieved automation of manual extraction processes, and large-scale data condensation for enhanced search speed and accuracy. Conducted thorough evaluations for model accuracy and reliability. - Collaborated with SymphonyAI to integrate and develop generative AI platforms for existing products. Managed context-based usage of external tools, and natural-language answer generation.

Developed and maintained features and APIs for multiple software and data products.- Architected, implemented and deployed a scalable data-processing pipeline, for de-duplication and linking large-scale data sources. Increased coverage from 15% to 80%, and improved performance using semantic embeddings and geospatial data with fine-tunable weights. Was recognized with a Bravo Award for remarkable teamwork and innovation.- Created a low-latency ingestion pipeline for complex documents using OpenSearch, automating manual processes.

Made MVP text‑to‑video app, producing continuous video output of any text transcript, in real-time ‑ a 25x speedup from existing platform. - Implemented end‑to‑end streaming pipeline using Python multiprocessing, to run on a single powerful machine with parallel stages: obtaining audio binary, extracting speech features, video frame generation, and video streaming - Found performance bottlenecks by benchmarking all stages. Maximized throughput of pipeline and GPU, by using UNIX pipes and RAM for data sharing, minimizing disk access- Created web‑app and REST APIs for input; integrated webRTC, HLS and RTMP protocols as choices for video outputAlso implemented minor features and bug‑fixes for APIs, monitoring and orchestration of the existing text‑to‑video platform, using Django, Celery and Google Cloud.

Worked on internal Cloud platform managing infrastructure of 3000+ Amazon services:- Calculated hardware requirements and scheduled infrastructure scaling in advance of Amazon peak days ‑ eliminating business‑impacting errors and reducing manual hours- Redesigned the notification mechanism; added option of sending secure e‑mail instead of non‑actionable tickets, to reduce KPI of tenants- Fetch and display DNS endpoints on migration platform; to migrate all traffic (1Mil+ transactions/sec) from external load‑balancers to Native AWS infrastructure; saving millions of dollars- Onboarded all new infrastructure with correct permissions to new, Amazon‑wide security protocol. Also worked with security team to help migrate all existing permissions on infrastructure of 2K+ services.

- Wrote feature to define custom metrics for alarms, for monitoring 100+ internal services- Learnt Agile practices, CI/CD, orchestration, design patterns, creating HLD and LLD, testing and documentation