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I am a Computer Engineering student at BITS Pilani Dubai Campus, specializing in applied AI and data science. I enjoy turning raw data into actionable insights by building end-to-end ML pipelines and AI-powered applications. I’m eager to translate technical expertise into real business impact, from data collection and modeling to deployment and user-centric design. I thrive in collaborative teams and love turning complex problems into practical, scalable solutions.…I am a Computer Engineering student at BITS Pilani Dubai Campus, specializing in applied AI and data science. I enjoy turning raw data into actionable insights by building end-to-end ML pipelines and AI-powered applications. I’m eager to translate technical expertise into real business impact, from data collection and modeling to deployment and user-centric design. I thrive in collaborative teams and love turning complex problems into practical, scalable solutions.

Mohammad Ali Haider

AI Engineer, Data Scientist, Full Stack Developer, +1

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I am a Computer Engineering student at BITS Pilani Dubai Campus, specializing in applied AI and data science. I enjoy turning raw data into actionable insights by building end-to-end ML pipelines and AI-powered applications. I’m eager to translate technical expertise into real business impact, from data collection and modeling to deployment and user-centric design. I thrive in collaborative teams and love turning complex problems into practical, scalable solutions.…I am a Computer Engineering student at BITS Pilani Dubai Campus, specializing in applied AI and data science. I enjoy turning raw data into actionable insights by building end-to-end ML pipelines and AI-powered applications. I’m eager to translate technical expertise into real business impact, from data collection and modeling to deployment and user-centric design. I thrive in collaborative teams and love turning complex problems into practical, scalable solutions.

Available to hire

I am a Computer Engineering student at BITS Pilani Dubai Campus, specializing in applied AI and data science. I enjoy turning raw data into actionable insights by building end-to-end ML pipelines and AI-powered applications.

I’m eager to translate technical expertise into real business impact, from data collection and modeling to deployment and user-centric design. I thrive in collaborative teams and love turning complex problems into practical, scalable solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Advanced

Work Experience

Intern at WhizKey

August 31, 2024 - October 15, 2025

Optimized the outreach process by integrating tools such as Apollo and RocketReach, reducing manual effort and accelerating lead generation. Authored two technical articles for the company website, contributing to increased site traffic. Collaborated with a cross-functional team to build a Flutter-based volunteering rewards application, enhancing user engagement and reward tracking.

Developers’ Advocate at Strawberry Labs

June 30, 2025 - October 15, 2025

Developed a time-series forecasting pipeline for household load and solar generation using XGBoost and Holt–Winters smoothing, achieving R² > 0.8 and lowering MAE/RMSE compared to Prophet baselines. Built and trained a reinforcement learning framework by designing an OpenAI Gym environment for a battery-backed grid and optimizing dispatch with a DQN agent in Stable Baselines 3, outperforming heuristic control strategies.

AI Engineering Intern at PM Accelerator

June 1, 2025 - Present

Led the front-end development of MyHandyAI, an AI product, and collaborated with a team to improve user interaction and functionality. Contributed to the back-end by building API endpoints for collecting and storing user feedback. Integrated AI-powered completion messaging connecting back-end endpoints to an LLM to generate personalized project completion confirmations. Designed a scalable ingestion workflow to process structured and unstructured data (PDFs, docs, APIs) into embeddings for efficient retrieval.