Three years of client work spanning AI/ML, radar signal processing, control systems, and automation. The case studies are the headline builds. This is the deeper track record they grew out of, and what clients said along the way.
A curated slice of client and research work, from radar DSP and motor control to production AI and APIs.
Signal-processing work to separate club and ball returns and improve accuracy in a golf launch-monitor radar system.
A FastAPI backend wired into Supabase and a no-code FlutterFlow frontend, the same backbone behind the Grouping API case study.
Model development and AI-training work, building and tuning machine-learning models on client data.
An AI/ML proof-of-concept built with TensorFlow and deep learning to validate a model approach before production.
Vector-control design for a six-phase PMSM, plus Kalman-filter estimation for field-oriented control of an induction motor.
A desktop application for machine-learning analysis and data visualization of wastewater-treatment-plant data.
Fuzzy-logic models for predictive maintenance and prognostics, turning sensor behavior into actionable maintenance signals.
Broad signal-processing, Simulink modeling, and electronic-circuit-design work across multiple engineering briefs.
Ongoing research in the Electrical Engineering & Signal Processing Laboratory: academic research, lab work, and technical documentation.
The interdisciplinary arc behind the AI work, from hardware and signal processing into production ML. Full 100+ project portfolio (PDF) ↓
A 145 W wireless charging system at ~85% efficiency (1 MHz) using a CD4047 four-switch design with resonant tuning, with full PSPICE simulation and power-transfer analysis.
Antenna theory and design across multiple bands: radiation patterns, impedance matching, and VSWR optimization for Yagi, dome, and chip antennas, with anechoic-chamber testing.
A MATLAB GUI for Arduino data acquisition, visualization, and analysis. Connect, import, and analyze sensor data with no programming required.
A MATLAB fuzzy-logic system producing personalized investment recommendations from user risk, horizon, and knowledge, giving rule-based decision support.
ARIMA-based time-series forecasting for gold prices, using statistical modeling applied to financial forecasting and risk analysis.
Time-series forecasting of stock prices with Facebook Prophet, applying core forecasting techniques to financial datasets in Python.
Market forecasting with Prophet, scikit-learn, and yfinance, with predictive analytics and valuation modeling on financial data.
An end-to-end ML system: model training, evaluation, and a React UI over a Flask API for real-estate price prediction.
A real-time audio-enhancement system using TensorFlow behind a REST API, GPU-optimized, performance-focused ML deployment.
A deep-learning classification model shipped through an Azure DevOps CI/CD pipeline with Docker, a full MLOps lifecycle in a compliance-sensitive setting.
A proposal-generation chatbot using LangChain and OpenAI with vector search over past proposals, using LLM pipelines, embeddings, and conversational AI.
AI/ML builds beyond the headline case studies, shipped for clients and as portfolio work.
AI-driven CV analysis, candidate matching, and bias-free evaluation, wired into Airtable, email, and calendar.
Classifies, summarizes, and drafts contextual replies with RAG and sentiment analysis, integrated with CRM systems.
A RAG chatbot for movie recommendations using LangChain, GPT-4, and ChromaDB with persistent conversation memory.
Trend monitoring plus GPT-4 captions and DALL·E imagery, generated and auto-published end to end.
An ML classifier reaching 99.74% accuracy on fraudulent-transaction detection, served behind a clean API.
An automated train-to-deploy ML lifecycle with GitHub Actions, MLflow, and Hugging Face Hub.
A few words from clients across the engagements above.
Amazing personality. Two words that describe Tanveer: Immaculate and Reliable!!! He delivers to his promise while maintaining the quality!
Tanveer is an excellent and hardworking freelancer. His skills in MATLAB, control systems, and electromechanical systems are very profound. I would love to hire him again.
Tanveer completes his work in a professional manner. He communicates thoroughly and makes sure his work delivers with complete satisfaction. I would highly recommend.
Tanveer demonstrated exceptional dedication and an impressive work ethic in every task he undertook. I wholeheartedly recommend him to other clients without hesitation.
Excellent. Tanveer works in a professional manner. His MATLAB skills are perfect. He did all the tasks and added some extra points as well, and kept me updated from the beginning.
Great communication and professionalism throughout the project. It was a pleasure working with him.
Very punctual, respectful and friendly! When asked to make changes he did, no questions asked. A great guy to work with.
I turn messy business problems into reliable AI systems: scraping, agents, RAG, and automation, designed and shipped solo.