# Arjun Parasuram Prasad > Software Engineer (AI/ML) | LLMs (RAG, Retrieval/Ranking) | ML Systems + Data Engineering (Snowflake, ADF) | MSCS NYU Courant ’26 Location: New York City Metropolitan Area, United States Profile: https://flows.cv/arjunparasuramprasad ML Engineer and researcher specializing in RAG systems, LLM optimization, and agentic AI architectures. Currently building production AI systems at Corvic AI and recently conducted graduate research at NYU's Agentic Lab on retrieval mechanisms for enhanching event forecasting performance of LLMs. I have owned end-to-end ML solutions from data pipelines to production deployment and my experience spans the full ML lifecycle: Developing entire software infrastructure for experimentation on large scale ML problems, data engineering at scale (10M+ row ETL pipelines), ML model development (93-97% accuracy on production systems), and MLOps deployment (Docker, Kubernetes, CI/CD). Technical Expertise: PyTorch, LLMs (Llama, Qwen), RAG Systems, Vector Databases, CUDA/C++, Python, Snowflake, Azure, AWS, Docker, Kubernetes Seeking: May 2026 full-time opportunities in Machine Learning Engineering, Data Engineering, or Applied ML Research roles where I can deploy scalable AI systems that deliver measurable business impact ## Work Experience ### Software Engineer Intern @ Corvic AI Jan 2026 – Present | Mountain View, CA Designing and implementing agentic AI software systems. ### Graduate Student Researcher @ New York University Jan 2025 – Present | New York, United States Working with the Agentic Lab on researching RAG mechanisms to improve LLM forecasting capabilities. ### Graduate Teaching Assistant @ New York University Jan 2025 – Jan 2025 | New York, NY 1. Teaching assistant for Computer Vision course (Prof. Davi Geiger). Designed detailed assignments on CNNs, Vision Transformers, and Object Tracking for 40 undergraduate student. 2. Evaluated student implementations of state-of-the-art computer vision architectures and provided technical mentorship on deep learning best practices ### Data Analytics Engineer 1 @ Providence India Jan 2023 – Jan 2024 | Hyderabad 1. Migrated outsourced marketing reporting to a Snowflake analytics layer powering 14 Power BI dashboards; worked as part of cross-functional team to eliminate outsourcing vendor spends. 2. Developed 8 production-grade Snowflake SQL stored procedures (avg. 200+ LOC) and 4 core analytics layer dimension/fact tables; delivering 4-6 Power BI dashboards aligned to marketing stakeholder KPI definitions 3. Automated SQL deployments with Azure DevOps CI/CD: ~3 hours to <20 minutes, saving 60+ engineering-hours per sprint cycle. ### Machine Learning Intern @ SuperPe Jan 2023 – Jan 2023 | Bengaluru 1. Reduced merchant onboarding drop-off by 40% by building real-time sales funnel dashboards and identifying critical leakage points in KYC verification workflow, enabling product team to prioritize UX improvements that increased conversion 2. Developed production OCR pipeline achieving 97% accuracy in extracting/validating business document numbers using Google Vision APIs and OpenCV. Deployed via REST endpoint (AWS Lambda) and integrated into merchant onboarding workflow, eliminating manual entry requirements 3. Created RAG-based conversational agent using LangChain and Milvus vector database to automate customer query resolution through agent-tool workflows, handling 1K+ daily queries with 85%+ resolution rate ### Secretary @ CSA − Computer Science Association Jan 2021 – Jan 2022 | Hyderabad, Telangana, India • Managed a 40-member committee and Organised guest lectures, workshops and research paper discussions in the computer science domain. • Organised ALGOMANIAC 2021 & 2022; active procurement of vendors, sponsorships and other key stakeholders. • Served as the medium of communcation between the CSIS department and the students. ### Member @ Automation And Robotics Club Jan 2020 – Jan 2022 | Hyderabad, Telangana, India ### Intern @ KITE- Kerala Infrastructure and Technology for Education, Government of Kerala Jan 2021 – Jan 2021 | Thiruvananthapuram, Kerala, India Built an English Language Exercise Recommender system for students of the E-Language Lab platform using supervised ML. ## Education ### Master of Science - MS in Computer Science NYU Courant Institute School of Mathematics, Computing, and Data Science Jan 2024 – Jan 2026 ### Bachelor of Engineering - BE in Computer Science BITS Pilani, Hyderabad Campus Jan 2019 – Jan 2023 ### CBSE - 12th Standard in Computer Science Delhi Public School - India Jan 2017 – Jan 2019 ## Contact & Social - LinkedIn: https://linkedin.com/in/arjun-p-prasad - Website: https://prasadboi.github.io --- Source: https://flows.cv/arjunparasuramprasad JSON Resume: https://flows.cv/arjunparasuramprasad/resume.json Last updated: 2026-04-01