Siddhant Shitole

Hello Internet; I'm Siddhant, a 22 y/o AI Engineer (Fullstack + Applied AI + Infra). I specialize in building production grade Agentic Systems that work at scale. Currently architecting voice AI agents for logistics and previously built serverless platforms serving 6-figure ARR.

My expertise spans end-to-end AI agent development (text + voice), fullstack engineering, and production scaling with observability. I like to transform cutting-edge research into production-ready systems fixing real business problems through systematic problem-solving & technical rigor.

Technical Depth

Adaptability

Problem Solving

This versatility as a smart generalist makes me particularly effective in fast-moving startup environments. Whether it's building BioML inference engines (computational biology), architecting voice AI systems (logistics), or developing cloud cost observability platforms (devops tooling), I thrive on the challenge of wearing multiple hats and delivering robust solutions that directly impact business outcomes.

Professional Experience

•Architected end-to-end voice AI platform for freight brokers with sub-second response times and parallel agent orchestration

•Built production dashboard (Next.js) with seamless SIP trunking integration for phone-to-phone calling infrastructure

•Engineered low-latency text-to-speech pipelines and real-time agent evaluation systems for enterprise logistics workflows

•Deployed scalable voice AI agents with automated failover and performance monitoring across distributed infrastructure

Python / FastAPI / Next.js / SIP Trunking / Voice AI / AWS

•Architected distributed inference engine for 20+ state-of-the-art bioML models (ESMFold, Boltz, ProteinMPNN) with efficient response times

•Engineered multi-tier cloud infrastructure with intelligent auto-scaling, distributed computing orchestration, and serverless-first architecture

•Built autonomous ML deployment system using multi-agent workflows, reducing deployment cycles from 3-5 days to <2 hours

•Implemented hybrid deployment architecture spanning AWS, Kubernetes auto-scaling, and custom BYOC patterns for pharmaceutical R&D teams

AWS (EC2 P3/G4, SageMaker) / Docker / Kubernetes / Python / Redis / Celery

Additional Experience>

•Selected as 1 of 12 Teaching Assistants from 27,000+ participants in highly regarded ed-tech platform

•Developed repository of 100+ technical questions and solutions, providing prompt assistance to 1000+ emerging developers

•Co-led team of 3 to develop Devclans networking platform, achieving 400+ visits from 7+ countries within hours of launch

•Mentored developers in full-stack development, system design, and technical problem-solving methodologies

Next.js / TypeScript / MongoDB / Redis / System Design

•Created and launched comprehensive product documentation (docs.opslyft.com), resulting in 40% reduction in user support tickets

•Authored 50+ pieces of technically rich content including knowledge-based blog posts, case studies, and customer testimonials

•Developed strategic webinar agendas featuring Fortune 500 CTOs, driving company expansion in US and Indian markets

•Established OpsLyft as thought leader in FinOps space through technical content strategy and market positioning

Technical Writing / Documentation / FinOps / Content Strategy

Development Portfolio

Devclans

Developer networking platform connecting 1000s of developers with projects and potential co-founders. Achieved 5k+ visits from 10+ countries within a day of launch.

Next.js, TypeScript, Redis, MongoDB

Cursor For Browsers

Chrome extension that enables users to automate complex web tasks through natural language commands, transforming any browser into an intelligent automation platform.

LLMs, Javascript, Chrome Extensions API, Manifest V3

Sidgit-Go

Distributed version control system engineered from first principles in Go, implementing Git's cryptographic object model and DAG commit structure. Features content-addressable storage with SHA-1 hashing, concurrent processing, and interactive web visualizer.

Go, TypeScript, Next.js, Graph Algorithms, Cryptography

Ingestible Code Mcp

Model Context Protocol server for extracting GitHub repositories and Colab notebooks into LLM-digestible formats. Supports intelligent filtering, binary detection, and seamless integration with Cursor IDE, Claude Desktop and MCP Clients.

Node.js, TypeScript, MCP Protocol, GitHub API