
Shreerama Shiva Sai Bharadwaja
Full Stack AI Engineer
I love shipping intelligent products—whether hardware like compact 3D printers or SaaS apps blending agentic AI, full-stack dev, and seamless functionality.
About me

Full-Stack AI Engineer building intelligent automation systems, multi-agent architectures, and AI-driven SaaS platforms. Currently Founding AI Engineer at Piaxis — architecting LangGraph-based Revit automation agents, Autodesk APS-integrated data pipelines, and MCP-compatible AI endpoints for the AEC industry. Experienced in RAG pipelines, LLM workflow orchestration, and shipping production-grade systems from plugin to platform. Proven track record across research (3 patents, 2 publications) and real-world delivery in AEC, healthcare, semiconductor, and industrial domains.

Languages & Frameworks
Python, TypeScript, JavaScript, C#, Node.js, React 18/19, Next.js (App Router), FastAPI, Express.js, .NET 8, WPF, MATLAB

Education
B.E. in Mechanical Engineering, Panjab University (UIET) | GPA 7.87/10 | Specialized in AI, Automation & Robotics

Projects & Systems Built
15+ production projects across Full-Stack AI, Agentic Systems, Revit Plugins, RAG Pipelines, SaaS Platforms, and Robotics

AI & Agents
LangGraph (ReAct, Multi-Agent, Hierarchical Sub-Agents), LangChain, MCP (Model Context Protocol), OpenAI, Anthropic, AWS Bedrock, Groq, RAG Pipelines, Vector DBs (Weaviate, Chroma, FAISS, pgvector)

Cloud & DevOps
Docker, GCP, CI/CD Pipelines, Supabase, PostgreSQL, Redis, Autodesk APS (Design Automation, OSS), Vercel, Linux, structlog

Patents & Research
3 granted/filed patents — AI Patient Care Bed, Bionic Prosthetic Arm, Adaptive 3D Printer Bed (WIPO WO2025099745A1) | 2 peer-reviewed publications on cranial implant optimization
My Experience
I build from atoms to algorithms — leading product development in hardware, robotics, and full-stack AI systems that merge deep tech with real-world impact.
Founding AI Engineer
Piaxis, Chennai
March 2026 – Present
- Founding Full-Stack AI Engineer on the Piaxis platform — an AI-powered architectural detail management system for the AEC industry, integrating with Autodesk Revit for intelligent detail discovery, placement, and workflow automation.
- Built a multi-version Revit plugin in C# (.NET Framework 4.8 / .NET 8.0, WPF) supporting Revit 2023–2026, enabling architects to authenticate, browse, and directly download architectural details into active Revit projects; shipped with WiX MSI and Inno Setup installers with code-signing support.
New Product Development Lead · Founding Engineer
ThinkMetal Private Limited, Chennai
Jan 2023 – Feb 2026
- Leading product strategy and end-to-end execution for compact metal 3D printers — from rapid prototyping to production-ready designs.
- Built and validated core toolhead and furnace subsystems, reducing iteration cycles and accelerating time-to-MVP.
Trainee · Automation & Hardware Integration
Semi-Conductor Laboratory (MeitY, Govt. of India), Mohali
Jan 2022 – Aug 2022
- Built a functional Automated Device Handler for semiconductor chip segregation with synchronized hardware/software control.
- Developed a self-aligning nozzle system using OpenCV and a lightweight deep learning model to enhance positioning accuracy.
Research & Development Intern
Nottingham Trent University, United Kingdom
Jul 2021 – Jul 2022
- Contributed to the development of a medical-grade 3D printer for PEEK implants featuring a sterile chamber and 120°C operation.
- Executed CFD and thermal simulations to engineer laminar flow and optimize thermal stability — improving print quality and chamber reliability.
Research Intern · AI & Robotics · Project Head
Design Innovation Center, MHRD, Panjab University, Chandigarh
Mar 2020 – Jul 2022
- Engineered AI-driven mechatronic systems combining hardware design, embedded programming, and machine learning models.
- Designed and fabricated robotic prototypes including EMG-based prosthetic arms, validating motion accuracy through sensor data.
Project Lead · Research Intern · Bio-Robotics & Healthcare Systems
Centre for Innovation in Biomedical Devices (CIBioD), PGIMER, Chandigarh
Mar 2021 – May 2022
- Led the development of AI-powered assistive healthcare devices including an intelligent patient-care bed and an eye-tracking wheelchair system.
- Designed embedded architectures integrating IoT sensors, OpenCV, and TensorFlow models for patient monitoring and mobility assistance.
Transmission & Design Engineer · Team Member
National Electric Go-Kart Championship (NEKC) · Season 3
Nov 2019 – Feb 2020
- Achieved victory in NEKC Season 3 as part of the transmission and design department, contributing to vehicle optimization and performance tuning.
- Calculated motor torque, power, and battery specifications to achieve optimal acceleration and endurance across multiple race events.
Bachelor of Engineering (B.E.) · Mechanical Engineering
University Institute of Engineering and Technology (UIET), Panjab University, Chandigarh
Aug 2019 – Jul 2023
- Graduated with a GPA of 7.87 / 10, focusing on product development, AI integeration, mechatronics, and computational simulations.
- Completed multiple interdisciplinary projects integrating AI, robotics, and manufacturing systems.
- Active contributor to design and innovation labs; represented university in National Electric Go-Kart Championship (NEKC).
My latest work
Explore my latest full-stack AI creations — where web engineering meets intelligence. From dynamic frontends to scalable backends, every project here reflects my mission to build smarter, faster, and more intuitive digital systems that think alongside their users.
Piaxis AI Platform
Founding AI Engineer role — built a full-stack AEC platform integrating Autodesk Revit with a LangGraph multi-agent system (40+ tools), FastAPI backend (45+ endpoints), Weaviate vector search, and a Next.js 15 / React 19 web app with Supabase multi-tenant RLS. Shipped a multi-version C# Revit plugin (2023–2026) and exposed Revit agents as MCP-compatible endpoints.
AEGIS — AEO & GEO Content Intelligence
FastAPI service with two AI-powered features: an AEO Content Scorer (direct answer detection, H-tag hierarchy, Flesch-Kincaid readability — scored 0–100) and a Query Fan-Out Engine that generates 10–15 intent-typed sub-queries via LLM with SSE streaming, gap analysis via sentence-transformers cosine similarity, and retry logic with exponential backoff.
Architectural Detail Library
Full-stack architectural knowledge platform with fast search, rule-based matching, and AI-powered contextual recommendations. Implemented a RAG pipeline using vector embeddings, semantic search, and LLM-generated technical explanations with PostgreSQL RLS and a responsive React dashboard.
X-Ray SDK — Decision Forensics
Observability SDK and API explaining why non-deterministic pipelines (LLMs, ranking systems) make specific decisions. Features a decision-centric data model (Run→Step→CandidateDecision), a fire-and-forget Python SDK with graceful degradation, and cross-pipeline forensic querying.
OrgaFlow — Multi-Tenant Project Management
Multi-tenant SaaS platform with strict data isolation and role-based access control. Designed GraphQL APIs, real-time subscriptions, and Kanban-style task workflows with scalable frontend and backend architecture for multi-organization collaboration.
AI-Powered Video Clipper & Repurposer
A full-stack application designed to automate video clipping, transcription, candidate generation, and ranking. It features a modern Next.js frontend, a Python backend (likely FastAPI) forprocessing, and utilizes Supabase for robust data management. The system is geared towards efficient content repurposing, especially for affiliate marketing.
