Aradhya Singh Bisht
Software Engineer - Data and Ai @Film Unite Llc
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WORK HISTORY
Software Engineer - Data and Ai @Film Unite Llc
Owned and deployed a backend for a film advertising platform using MongoDB, implementing secure authentication, and real-time features• Improved backend performance by optimizing API flows and database interactions, significantly reducing response times and improving overall platform responsiveness• Integrated AI services using Python alongside the backend to support intelligent chat and content generation features• Optimized AWS infrastructure and database operations through caching, query tuning, and resource management, reducing cloud costs while maintaining performance and reliability
EDUCATION
University of Maryland
Master's degree, Business Analytics
The Army Public School, Dhaula Kuan, New Delhi
PCM
Delhi Technological University (Formerly DCE)
Bachelor of Technology - BTech, Computer Engineering
ABOUT ARADHYA SINGH BISHT
AI Engineer with strong product ownership experience building, specializing in taking GenAI systems from problem definition to production. I build end-to-end intelligent systems, including LLM-powered chatbots, data pipelines, and predictive models, that deliver measurable business impact.At FilmUnite LLC, I design and deploy production-grade AI and backend systems that power real-time collaboration between filmmakers and advertisers. I built AI-assisted chat and content-generation workflows using LLMs, FastAPI, and REST APIs, optimizing system latency from 200ms to 30ms while supporting concurrent user interactions. I also led backend architecture and infrastructure optimization, reducing AWS costs by 70% through careful performance and scaling tradeoffs. Previously, at MatchMiles, I developed an LLM-based customer support chatbot using prompt engineering and FastAPI, improving response efficiency by 50%, while also architecting data pipelines and ML workflows to optimize transportation networks. Before that, at Parla Dynamics, I built full-stack AI and backend systems using Next.js, REST APIs, and Llama 2 integrations, and at SCOR Global Life, I automated large-scale data workflows with Python and Azure DevOps, achieving 90% automation and saving $200K annually.Core Skills:AI/ML — LLMs (GPT-3, Llama 2, prompt engineering)| PyTorch, TensorFlow, Scikit-Learn | LangChain, FaissData Engineering — Python, SQL, R | ETL, PySpark | Snowflake, dbt, DatabricksBackend & MLOps — FastAPI, Next.js, Docker, Kubernetes, CI/CD (Azure DevOps)Analytics & Visualization — Tableau, Power BI, predictive modeling (96% accuracy)I’m passionate about bridging data, AI, and software engineering, transforming raw data into production-ready systems that deliver real-world value at scale.
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