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I'm Tanmay Hatkar, a machine learning engineer focused on building production-grade AI systems that ship. I connect research with deployment, turning models into reliable services that scale in the real world. I’m a published researcher (ICMVA 2025) with hands-on experience deploying models at scale, and I enjoy solving tough problems with Python, PyTorch, TensorFlow, and GCP. I learn fast, value collaboration, and love the challenge of multilingual and multimodal AI — from Arabic TTS to real-time road scene understanding for autonomous vehicles. When I’m not coding, I enjoy documenting reusable components and building data pipelines that make ML workflows repeatable and auditable.…I'm Tanmay Hatkar, a machine learning engineer focused on building production-grade AI systems that ship. I connect research with deployment, turning models into reliable services that scale in the real world. I’m a published researcher (ICMVA 2025) with hands-on experience deploying models at scale, and I enjoy solving tough problems with Python, PyTorch, TensorFlow, and GCP. I learn fast, value collaboration, and love the challenge of multilingual and multimodal AI — from Arabic TTS to real-time road scene understanding for autonomous vehicles. When I’m not coding, I enjoy documenting reusable components and building data pipelines that make ML workflows repeatable and auditable.

Tanmay Hatkar

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I'm Tanmay Hatkar, a machine learning engineer focused on building production-grade AI systems that ship. I connect research with deployment, turning models into reliable services that scale in the real world. I’m a published researcher (ICMVA 2025) with hands-on experience deploying models at scale, and I enjoy solving tough problems with Python, PyTorch, TensorFlow, and GCP. I learn fast, value collaboration, and love the challenge of multilingual and multimodal AI — from Arabic TTS to real-time road scene understanding for autonomous vehicles. When I’m not coding, I enjoy documenting reusable components and building data pipelines that make ML workflows repeatable and auditable.…I'm Tanmay Hatkar, a machine learning engineer focused on building production-grade AI systems that ship. I connect research with deployment, turning models into reliable services that scale in the real world. I’m a published researcher (ICMVA 2025) with hands-on experience deploying models at scale, and I enjoy solving tough problems with Python, PyTorch, TensorFlow, and GCP. I learn fast, value collaboration, and love the challenge of multilingual and multimodal AI — from Arabic TTS to real-time road scene understanding for autonomous vehicles. When I’m not coding, I enjoy documenting reusable components and building data pipelines that make ML workflows repeatable and auditable.

Available to hire

I’m Tanmay Hatkar, a machine learning engineer focused on building production-grade AI systems that ship. I connect research with deployment, turning models into reliable services that scale in the real world. I’m a published researcher (ICMVA 2025) with hands-on experience deploying models at scale, and I enjoy solving tough problems with Python, PyTorch, TensorFlow, and GCP.

I learn fast, value collaboration, and love the challenge of multilingual and multimodal AI — from Arabic TTS to real-time road scene understanding for autonomous vehicles. When I’m not coding, I enjoy documenting reusable components and building data pipelines that make ML workflows repeatable and auditable.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Arabic

Advanced

Kannada

Advanced

Work Experience

Machine Learning Engineer at VoSyn Technologies

August 1, 2025 - Present

Designed and implemented AI-driven workflow automation systems using Python and machine learning frameworks, integrating multiple platforms and APIs to create seamless development workflows that accelerate code discovery and optimize collaboration. Developed scalable AI solutions for process automation and efficiency improvement, implementing version control and CI/CD with focus on data security and maintainability. Collaborated with cross-functional teams to identify workflow challenges and delivered tailored AI solutions while providing technical guidance and architecting secure, scalable systems for streamlined development processes.

Research Assistant - AI Engineer at Lakehead University - AI Research Lab

April 30, 2025 - September 4, 2025

Developed AI engineering solutions using Python, machine learning frameworks, and systematic workflow automation approaches achieving significant performance improvements. Implemented automated systems for data processing and model integration improving efficiency through API integration and workflow design. Collaborated with research teams delivering workflow automation projects, providing technical guidance, and ensuring compliance, security, and scalability of automated AI-driven solutions in complex environments.

MLOps Engineer Consultant at VoSyn Technologies

August 1, 2025 - Present

Developed an Arabic text-to-speech model for a multilingual voice cloning platform supporting 6+ languages, enabling seamless multilingual content creation and distribution. Trained and fine-tuned multiple TTS architectures (Tacotron2, FastPitch) using PyTorch, building automated data preprocessing and model validation pipelines for large-scale audio-text datasets. Containerized and deployed models on Google Cloud Platform using Docker and Flask APIs, integrating Arabic TTS into the production voice cloning system, improving scalability, reliability, and deployment efficiency.

Research Assistant - AI Engineer at Lakehead University

April 1, 2025 - October 15, 2025

Developed AI system to help self-driving cars understand road scenes in real-time, accurately identifying pedestrians, vehicles, and infrastructure across different weather and lighting conditions. Published at ICMVA 2025. Evaluated system across datasets from the UK, Germany, and India to validate performance in diverse driving environments, achieving 82.4% accuracy using a transformer-based architecture. Implemented transfer learning approach reducing training time by 61% when adapting to new cities, demonstrating 72% improvement for challenging scenarios like detecting cyclists and pedestrians.

Graduate Engineer Trainee at BusinessNext

May 1, 2023 - October 15, 2025

Resolved critical production issues in HDFC Bank’s customer systems affecting millions of users, working on-site to deliver rapid solutions and minimize service disruptions during peak banking hours. Improved database performance by optimizing SQL queries and adding indexes, reducing system resource usage by 35% and enabling smoother operations during high-traffic periods. Developed logging and monitoring tools that reduced troubleshooting time from hours to minutes, enabling faster root cause analysis and preventing recurring issues.