# Abhishek Murthy > Senior Software Engineer | Prev - Founding Engineer (YC W24), AI at Duke Location: New York City Metropolitan Area, United States Profile: https://flows.cv/abhishekmurthy Senior Software Engineer at Unlimited.ai, working on AI automation for private-market workflows. Ex-Founding Engineer at ProSights (YC W24), where I led the Excel Add In product and built AI-driven low latency workflows for recreating tables and charts with high accuracy. Master’s in AI from Duke University. Multiple national + international hackathon wins. Experience includes large-scale distributed systems (BlinkIt’s ARS serving 500k+ daily orders), microservices, RAG, OCR/LLM pipelines, and full-stack/infra work across Python, TypeScript, React, NestJS, NestJS, Kubernetes, SQL, and modern LLM tooling. ## Work Experience ### Senior Software Engineer @ Unlimited.ai Jan 2025 – Present Building AI-powered platforms to automate and orchestrate workflows in private financial markets ### Founding AI Engineer @ ProSights Jan 2025 – Jan 2025 | Manhattan, New York, United States Built enterprise-level AI tech for Investment Banks and Private Equity firms. Primary focus was on developing low-latency pipelines that could accurately recreate tables and charts. Additionally architectured and built an Excel Add-In for the ProSights platform. ### Co-founder | Software Engineer @ ticketdude Jan 2022 – Jan 2025 | Durham, North Carolina, United States • Boosted deployment efficiency by 41% and trimmed memory usage by architecting scalable back-end services on DigitalOcean using Docker and SQL, ensuring peak performance for the Ticketdude app now live on the Play Store. • Streamlined API P90 latency by 29% through the implementation of a QR code-based check-in system with Python, Django, and Redis caching, significantly enhancing participant event entry efficiency. • Accelerated server-side processing by 30% by developing custom registration forms with Python and Django, utilizing gRPC for enhanced inter-service communication. • Expedited development time by crafting a cross-platform mobile app using Flutter and a progressive web app with React and TypeScript, focusing on front-end optimization, UX, and automated CI/CD pipelines via fastlane. • Engineered a real-time notification system with Node.js, WebSocket & Google FCM and increased event interaction by 25% while integrating a payment gateway and job queue for improved transaction reliability. ### Data Engineering Intern @ Memorial Sloan Kettering Cancer Center Jan 2024 – Jan 2024 | New York, United States • Elevated team productivity through leading the deployment of a Spotify Backstage instance, centralizing developer resources and streamlining service access for enhanced collaboration. • Reduced search latency by 20% by architecting a scalable backend for an AI-powered medication search engine using Node.js, TypeScript, and PostgreSQL, integrating ChromaDB and Llama 3 to enhance RAG capabilities. • Boosted data extraction efficiency by 30% and cut data matching errors by developing a self-healing web scraper using fine-tuned LLMs and embedding models, ensuring accurate medication data extraction. • Trimmed API response time by 20ms by implementing an event-driven microservice architecture with AWS Lambda and Node.js, significantly improving API Requests per minute (RPM) for the prescription search engine. ### RA, Center for Research & Engineering of AI Technology in Education (CREATE) @ Duke University Jan 2024 – Jan 2024 | Durham, North Carolina, United States - As a team, we architectured, built and deployed “Qubit”, an AI based coding assistant meant to introduce and teach coding to high school students - Built and deployed an AI based language learning application that helped students understand Italian with near real time translations and transcriptions ### TA, MEng AI Cloud Ambassador @ Duke University Jan 2023 – Jan 2024 | Durham, North Carolina, United States Assisting peers with deploying their applications to cloud platforms such as AWS, GCP, Azure and Duke Compute Cluster. Focused on utilizing cloud GPUs and Linux based tools to train and deploy their ML models. ### SDE 2 @ Blinkit Jan 2022 – Jan 2022 | Bengaluru, Karnataka, India • Orchestrated a 35% performance boost and processed 500,000+ orders/day by building an Automated Replenishment System using Kubernetes, Luigi, Django and Kafka for BlinkIt’s 10-minute delivery service. • Shortened report generation time by 25% by implementing asynchronous data fetching with React and Next.js, optimizing DynamoDB for low-latency reads, and using Redshift for efficient data aggregation and queries. • Reduced system downtime and improved MTTR by automating failure detection with Grafana and OpsGenie, optimizing Kubernetes auto-scaling, and deploying resilient services on AWS ECS with Docker. • Enhanced BlinkIt’s open-source collaboration by improving the ERPNext library, optimizing features for high-frequency delivery, adopted by companies like Google, Zerodha and Spotify. • Optimized supply chain operations by implementing an ETL pipeline with Apache Airflow, integrating Kafka for real-time streaming and Spark for distributed processing, enhancing forecasting accuracy in BlinkIt’s inventory systems. ### SDE 1 @ Blinkit Jan 2021 – Jan 2022 | Bengaluru, Karnataka, India ### Software Engineer @ TVAST Jan 2020 – Jan 2021 | Bengaluru, Karnataka • Increased deployment frequency by 32% and resolved integration issues by setting up CI/CD pipelines using GitHub Actions, Docker, and Kubernetes, and optimizing slow MySQL queries for improved performance. • Enhanced data query performance by designing a scalable microservices architecture with Node.js, Golang, and Docker, deploying GraphQL resolvers with strategic indexing and sharding for optimized inter-service communication. • Optimized database search efficiency and diminished geographic query response times by 25% by fine-tuning MongoDB with geospatial indexes, sharding, and advanced query diagnostics for real-time GIS applications. ## Education ### Master of Engineering - MEng in Artificial Intelligence Duke University Jan 2023 ### Bachelor of Engineering (B.E.) in Computer Science Visvesvaraya Technological University Jan 2016 – Jan 2020 ### 2nd PU in Computer Science JAIN College Jan 2014 – Jan 2016 ### 1-10th Std in ICSE Carmel School Jan 2002 – Jan 2014 ## Contact & Social - LinkedIn: https://linkedin.com/in/abhishekwl - Website: https://abhishekmurthy.com --- Source: https://flows.cv/abhishekmurthy JSON Resume: https://flows.cv/abhishekmurthy/resume.json Last updated: 2026-03-22