Nirmal
Mumbai, Maharashtra, India
Experience: 1 years
Open to: Full-Time
Education: Bachelors
Availability: Immediate
Skills: CPP, Docker, Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, MySQL, NumPy, pandas, Python, Python3, PyTorch, Redis, scikit-learn, TensorFlow
Previously worked at: Startups
Assessment Score: 57
- Professional Experience in Machine Learning
Worked as an ML Engineer at TrueFan (July – Sep’24), where contributions included optimizing lip-sync models, enhancing facial landmark detection using InsightFace, and deploying machine learning models using Docker containers. Developed RESTful APIs with Flask for model integration and improved speech synthesis accuracy with Coqui XTTS. - Advanced AI & ML Project Development
Led key projects such as facial bias detection using CNNs and Variational Autoencoders (VAEs), and developed a robust quantitative stock analysis and trading system utilizing PyTorch LSTM. Achieved profitability in real-world stock trading tests. Also contributed to sentiment analysis and medical image segmentation with advanced machine learning techniques. - Strong Research and Practical Applications in AI
Participated in projects like medical image segmentation using U-Net architecture and weather recognition with CNNs, showcasing expertise in data preprocessing, model architecture design, and achieving high accuracy in classification tasks. Developed a sophisticated weather classification model using TensorFlow. - Leadership and Team Management Experience
Served as the Electrical & Controls Head for the SPART Solar Powered Airship Research Team at IIT Bombay, managing a team of 20+ members. Played a key role in building an autonomous airship and successfully flying prototypes, demonstrating leadership in project execution and team coordination. - Demonstrated Innovation in Technology
Proposed and worked on an Airship Surveillance System, winning the Vishwakarma Award, where the concept involved using airships for advanced surveillance. The project highlighted the potential of airships for high-resolution, prolonged-range monitoring with diverse sensors. - Technical Expertise in AI and Software Development
Skilled in programming languages like C++, Python, and SQL, and proficient with tools like Docker, Celery, Redis, and Git. Experienced in implementing models such as CNN, LSTM, GAN, VAEs, and TTS, and optimizing them for real-world applications in AI and machine learning domains.