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I'm Mohammad Ali Haider, a Computer Engineering student specializing in applied AI and data science with hands-on experience building ML pipelines and AI-driven applications. I am passionate about turning data into actionable insights and deploying AI systems end-to-end, from data collection to deployment, with a focus on delivering measurable business outcomes. I enjoy collaborating with cross-functional teams to translate complex problems into practical technical solutions.…I'm Mohammad Ali Haider, a Computer Engineering student specializing in applied AI and data science with hands-on experience building ML pipelines and AI-driven applications. I am passionate about turning data into actionable insights and deploying AI systems end-to-end, from data collection to deployment, with a focus on delivering measurable business outcomes. I enjoy collaborating with cross-functional teams to translate complex problems into practical technical solutions.

Mohammad Ali Haider

AI Engineer, Data Scientist, Full Stack Developer, +2

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I'm Mohammad Ali Haider, a Computer Engineering student specializing in applied AI and data science with hands-on experience building ML pipelines and AI-driven applications. I am passionate about turning data into actionable insights and deploying AI systems end-to-end, from data collection to deployment, with a focus on delivering measurable business outcomes. I enjoy collaborating with cross-functional teams to translate complex problems into practical technical solutions.…I'm Mohammad Ali Haider, a Computer Engineering student specializing in applied AI and data science with hands-on experience building ML pipelines and AI-driven applications. I am passionate about turning data into actionable insights and deploying AI systems end-to-end, from data collection to deployment, with a focus on delivering measurable business outcomes. I enjoy collaborating with cross-functional teams to translate complex problems into practical technical solutions.

Available to hire

I’m Mohammad Ali Haider, a Computer Engineering student specializing in applied AI and data science with hands-on experience building ML pipelines and AI-driven applications.

I am passionate about turning data into actionable insights and deploying AI systems end-to-end, from data collection to deployment, with a focus on delivering measurable business outcomes. I enjoy collaborating with cross-functional teams to translate complex problems into practical technical solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Work Experience

AI Engineering Intern at MyHandyAI, USA

September 1, 2025 - Present

Working as part of the MyHandyAI core dev team, shipping mobile app features (auth, chat UI, feedback capture) and coordinating weekly releases with design and backend. Improving LLM agent workflows for task planning and follow-ups, wiring tools (search, docs, APIs) and retrieval over embeddings to ground responses. Build and harden inference pipelines with streaming, caching, and guardrails (rate limits, input/output validation), improving reliability and user experience.

AI Engineering Intern at PM Accelerator, USA

June 1, 2025 - September 1, 2025

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

Developers’ Advocate at Strawberry Labs, AE

May 1, 2025 - June 1, 2025

Developed a time-series forecasting pipeline for household load and solar generation using XGBoost and Holt– Winters smoothing, achieving R^2 > 0.8 and lowering MAE/RMSE compared to Prophet baselines. 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.

Technical Sales Representative at WhizKey

June 1, 2024 - August 1, 2024

Optimized the outreach process by integrating Apollo and Gmail Apps Script, reducing manual effort and increasing customer acquisition efficiency by 65%. Authored two SEO-optimized technical articles to boost brand visibility. Collaborated with a cross-functional team to build a Flutter-based volunteering rewards application, enhancing user engagement and reward tracking.