# Aditya Agarwal > Founding Machine Learning Engineer | AI Agents, RAG | Data Retrieval & LLMs | Python & Cloud Platforms Location: New York City Metropolitan Area, United States Profile: https://flows.cv/adityaagarwal Founding ML Engineer at Soopra.ai, where I had to move fast, iterate on incomplete specs, and wear multiple hats; a “ship-first, measure-everything” environment, to what you are looking for. Built and shipped multiple production systems in Django with PostgreSQL backends, from enterprise apps to real-time pipelines, so I’m very comfortable with the stack. Designed distributed, metrics-driven data pipelines where we tracked engagement, load times, and latency improvements (e.g., cut data load time by 15%, improved engagement by 35%). Worked as a generalist across Python, Django, Flask, PyTorch, and vector DBs, often moving from infra setup (Docker on GCP) to backend APIs to frontend wiring. Productionized GenAI systems: RAG pipelines with LlamaIndex/Qdrant, conversational AI agents, and recommendation engines that directly improved user engagement and security. ## Work Experience ### Founding Software Engineer | Machine Learning @ Soopra.ai Jan 2024 – Present | San Francisco Bay Area Tuning and behavior molding of Soopra's AI Personas. Focusing on minimizing hallucinations and generating as close to accurate responses as possible. Worked on Conversational modeling where AI will ONLY teach from a set of curricula defined by a professor/teacher/expert. ### Software Engineer @ Soopra.ai Jan 2023 – Jan 2024 | San Francisco, California, United States • Designed and implemented RAG Pipelines by experimenting with vector databases, resulting in 20% faster data ingestion. • Developed a data Retrieval Engine utilizing a decay function for reverse chronological data retrieval with high embedding. • Engineered RAG-based chat systems, dynamically enhancing conversation flow and increasing user engagement by 25%. • Developed scalable ETL pipelines for real-time Twitter data extraction, preprocessing, and ingestion. • Designed and optimized data ingestion pipelines, achieving a 15% reduction in data loading time into data stores. • Developed conversational scripts optimizing user interactions and enhancing data extraction personalization, resulting in a 30% boost in user satisfaction and a 20% reduction in onboarding time. ### Software Developer @ The Unique Story Jan 2021 – Jan 2022 | Bengaluru, Karnataka, India • Developed a Django-based project management web app, increasing team efficiency by 30% and improving client updates. • Implemented billing estimates and site inspection report features, enhancing project monitoring and documentation accuracy. • Deployed the project management platform on Heroku with RDS, ensuring seamless data management and accessibility • Consolidated multiple tools into a single platform for architectural and construction project management, providing efficient record maintenance and estimation. Additionally, contributed to the project by working collaboratively with the team and using Heroku and RDS for seamless deployment and hosting. Accomplishments include streamlining project management, improving client communication, and enhancing team productivity. ### Back End Developer @ QUICHUB INNOVATIONS LLP Jan 2020 – Jan 2020 | Bangalore Urban, Karnataka, India • Programmed an SOS button for MyresQR, an emergency response platform, which sends alerts to the user's emergency contacts in case of an accident. • Implemented IVR call flows using Exotel API to connect victims or respondents to emergency contacts quickly. • Built services using Python in Django Web Framework, which enhanced the platform's capabilities and reduced emergency response times. ### Research Intern, Recommender Systems @ National Institute of Technology Rourkela Jan 2019 – Jan 2019 | rourkela • Implemented and experimented with collaborative filtering algorithms for user recommendations on Netflix Movie Database. • Formulated and developed a novel collaborative filtering algorithm to improve user recommendations. • Presented findings to the research team and successfully integrated recommendations into the organization's offerings. ## Education ### Master of Science in Machine learning Stevens Institute of Technology Jan 2022 – Jan 2024 ### Bachelor of Technology in Computer Science and Engineering Alliance University Jan 2017 – Jan 2021 ## Contact & Social - LinkedIn: https://linkedin.com/in/adityaagarwal1999 - Website: http://www.adityaagarwal.me/ - GitHub: https://github.com/adiagarwalrock - Website: https://app.soopra.ai/aditya.agarwal/chat/ --- Source: https://flows.cv/adityaagarwal JSON Resume: https://flows.cv/adityaagarwal/resume.json Last updated: 2026-03-20