Profile

Hey, I'm Tahmeed 👋

AI Solutions Engineer

Designing Intelligent Systems for Real-World Impact

Building end-to-end AI products—from data pipelines and model training to scalable APIs, agentic workflows, and intuitive UIs.

>python -m tahmeed.resume.downloadRun
About

Turning ideas into products

Product engineer with 7+ years experience building intelligent tools across retail, medtech, AR/VR, edtech, and generative media. I design and ship RAG-based copilots, multi-agent LLM workflows, and scalable cloud backends that turn messy operational data into decision-ready tools.

My approach to building products:

  • •Talk to users to uncover real pain points
  • •Dig into why problems exist, not just what they are
  • •Identify where AI can create meaningful impact
  • •Ship solutions that actually get used
  • •Iterate based on feedback, not assumptions

I've worked across enterprise teams and early-stage startups—bridging the gap between user needs and technical execution to deliver products that drive real business outcomes.

7+
Years Experience

Years building production-grade systems and AI-powered applications

20+
AI Systems Built

LLM agents, RAG pipelines, MLOps workflows, and generative media tools

10+
Countries

Products built and shipped to including Japan, Singapore, Belgium, South Africa, Germany with massive enterprise clients such as Toppan, Brutex, Lectra, IKEA and many more.

Selected Work

Featured Product Portfolio

01 — Glyph (Generative Vision + 3D Pipelines)

Hyper-realistic AR for textiles & furniture

Built AI tooling that powers the ingestion, segmentation, recoloring, and 3D transformation of real-world materials for retailers like Toppan, IKEA, Brutex

  • • Segmentation pipelines
  • • Texture generation
  • • Automatic colorway synthesis
  • • Agent-driven asset workflows

Tech: PyTorch, SAM2, OpenAI Vision, Next.js, Firebase

AI Systems: Segmentation pipelines, Texture generation, Automatic colorway synthesis, Agent-driven asset workflows

02 — AI-Powered (Energy + Geospatial AI)

AI-Powered Microgrid & Data Center Site Planner

Built an end-to-end geospatial AI tool that automates early-stage site assessments for energy developers

  • • Terrain ingestion (DEM, slope, aspect, cut/fill)
  • • Asset auto-placement (solar, turbines, batteries)
  • • Road network generation with A*
  • • PDF/GeoJSON/KMZ exports
  • • Full MLOps + AWS infrastructure

Tech: Python, FastAPI, PostGIS, Next.js, AWS (RDS, S3, ECS), USGS 3DEP, GDAL

AI Systems: Autonomous geospatial agents, Suitability scoring model, Terrain-aware routing, Automatic report generation

03 — Agentic (LLM Agents + EdTech Infrastructure)

Agentic Tutor-Parent Messaging & Scheduling Platform

Designed a multi-agent system for real-time tutoring support, scheduling, personalized learning feedback, and parent communication.

Tech: Expo Go, React Native, Android/iOS, LangChain, LangGraph, OpenAI APIs, Firebase, Firestore

AI Systems: Orchestration agent, Scheduler agent, Analytics agent, Multi-threaded conversation memory

04 — NDC (Full-Stack (Health Tech / AI Systems))

NDC packaging & quantity calculator for accurate medication fulfillment

Built an AI-augmented calculation engine that normalizes medications, matches prescriptions to valid NDC packages, and computes correct dispense quantities across all dosage forms.

Tech: TypeScript, SvelteKit, Firebase Functions, Firestore, RxNorm API, FDA NDC API

AI Systems: Drug-normalization pipeline, SIG-aware quantity calculator, Smart NDC ranking engine, Active/inactive package detection, Debuggable multi-stage search flow

05 — Personal (Robotics / Automation Lab)

Personal Robotics Lab & Automation Experiments

Built a personal robotics lab featuring a $20K industrial robot arm, originally used for logistics automation consulting. Now a playground for computer vision, pick-and-place automation, and experimental AI integration projects.

  • • Industrial-grade 6-axis robot arm
  • • Custom gripper and end-effector designs
  • • Computer vision integration for object detection
  • • Automated pick-and-place workflows
  • • ROS2-based control systems

Tech: ROS2, Python, OpenCV, PyTorch, Arduino, 3D Printing

AI Systems: Object detection & classification, Path planning optimization, Vision-guided manipulation, Real-time pose estimation

Technical Stack

Technical Skills

Always learning and growing, here are some of the technologies I've worked with.

AI & Data Products

•LLM Applications
•RAG
•Embeddings
•Vector Databases
•Pinecone
•Firestore Vector
•Prompt Engineering
•Eval Frameworks

MLOps & Backend

•Python
•Node.js
•REST APIs
•Serverless
•Firebase Functions
•AWS Lambda
•Docker
•CI/CD
•GitHub Actions
•Vercel

Frameworks & Tools

•LangGraph
•LangChain
•Hugging Face
•PyTorch
•React
•Next.js
•React Native
•Firebase
•PostgreSQL
•Redis

Business & Strategy

•B2B Partnerships
•Joint Development
•Contract Negotiation
•Licensing
•Early-Stage Fundraising
•ROI Modeling
•Cross-Functional Leadership

Product Design

•FMEA
•Risk Management
•DOE
•DFM/DFA
•Rapid Prototyping
Get In Touch

Let's build
something together.

Actively exploring full-time opportunities, consulting roles, and impactful projects. Always open to conversations about how I can contribute.