Sahil Gupta

Summary

AI engineer with two years of shipping LLM products end to end: orchestration, agent workflows, RAG, fine-tuning, billing, and the infrastructure that keeps them fast, cheap and safe. Creator of cachellm (npm, PyPI) and the RedSec security models.

Experience

• Neural Arc IncPune, on-site

  • Lead of Cognitive IntelligenceJul 2025 - Present

    Designing generative AI systems and multi-agent architectures for enterprise customers and owning them from prototype to production: LLM orchestration, tool calling, memory, RAG, Dockerized backends on AWS and GCP, and usage-based billing with Stripe.

  • Quantum CoderMar 2025 - Jul 2025

    Core LLM features and agent workflows for early-stage AI products, with the backend APIs and cloud deployments behind them.

• AmpersandPune, on-site

  • SDE IMar 2025 - Present

    AI-powered web and app features across the stack with React, AWS and modern backend frameworks. Promoted from intern on the strength of delivery and ownership.

  • AI and App Development InternDec 2024 - Feb 2025

    Frontend components, backend APIs and cloud services for AI-integrated application features.

• LvlUp VenturesRemote

  • Venture ScoutOct 2025 - Present

    Sourcing and evaluating early-stage startups for the fund.

• IndiaResults.comJaipur, on-site

  • Data Engineer InternJun 2023 - Aug 2023

    Data processing and ETL pipelines on production datasets.

• FastlegalJaipur, remote

  • Data Engineer TraineeJan 2023 - Feb 2023

    Data integration and ETL work.

Projects

• cachellmOpen source

  Wraps your Anthropic, OpenAI or Gemini client and injects prompt-cache breakpoints automatically. On npm and PyPI.

• RedSecResearch

  Security-specialized LLMs fine-tuned with QLoRA for authorized red-team work. Models and datasets on Hugging Face.

• MCP Apps SandboxWriting

  An evidence-based walkthrough of where an MCP App's HTML runs inside Claude.ai and what it can reach.

Skills

• LLM Systems. Orchestration, tool calling, memory, and RAG pipelines that turn a model into a product, with cost and latency budgets built in from day one.
• Agent Workflows. Multi-agent architectures for enterprise use cases, owned end to end from research and prototyping to production deployment and monitoring.
• AI Security. Red-team testing, prompt-injection evaluation, and security-specialized models built for authorized penetration testing and defensive research.
• Full-stack Apps. Next.js, TypeScript, and Python applications with Supabase, Stripe billing, and Dockerized backends on AWS or GCP.
• Data Engineering. ETL pipelines, dataset curation, and evaluation harnesses that keep training data clean and models honest.

Large language models, LLM orchestration and agent workflows, Retrieval-augmented generation, Prompt caching, AI security and red teaming, Fine-tuning with QLoRA, Next.js and TypeScript, Python, Data engineering.

Education

Jaypee University of Engineering and Technology

B.Tech, Computer Science, 2020 - 2024

• Oracle Agentic AI Certified Foundations Associate
• Goldman Sachs Software Engineering Virtual Program, 2023