Hemanth
Kasaragod, Kerala, India
Experience: 1 years
Open to: Full-Time
Education: Bachelors
Availability: Immediate
Skills: Dart/Flutter, Django, JavaScript, Jupyter Notebooks, Matplotlib, MySQL, NumPy, pandas, Python3, PyTorch, React, scikit-learn, TensorFlow
Previously worked at: Product Companies, Startups
Assessment Score: 79
- Professional Experience: AI Engineer with hands-on experience in developing real-time AI-driven systems, including a driver distraction detection system and a face recognition attendance system, optimized for edge devices. Additionally, gained experience as a Machine Learning Intern, where I developed a phishing URL detection website and enhanced my skills in data processing and visualization.
- Technical Skills: Proficient in programming languages such as Python, JavaScript, and C, with expertise in AI and ML libraries including TensorFlow, PyTorch, and scikit-learn. Skilled in tools like Git, GitHub, OpenCV, and FastAPI, and experienced with deploying machine learning models on edge devices using TensorFlow Lite.
- Projects: Developed a Video Recognition Tool to detect objects in lengthy videos using deep learning models, optimized with multiprocessing techniques. Created a Person Reidentification system to identify individuals across various visuals and implemented an email prioritization system using BERT to classify and prioritize important emails.
- Educational Background: Pursuing a B.Tech in Computer Science and Engineering, with a focus on Machine Learning, at Government Engineering College Idukki. Achieved a CGPA of 8.82, demonstrating a strong academic foundation in AI and ML technologies.
- Achievements and Extracurricular Activities: Awarded the Pravartak Fellowship for the Video Recognition System project and secured 1st place in the IEEE CS Kerala Section’s portfolio competition in 2023 and 2024. Served as Joint Secretary (2022) and Treasurer (2023) for IEEE SB GECI, showcasing leadership and organizational skills.
- Core Competencies and Soft Skills: Expertise in Machine Learning, Deep Learning, and Computer Vision with a particular focus on AI solutions for edge devices. Strong problem-solving, teamwork, and self-learning abilities, essential for developing innovative AI-driven solutions in dynamic environments.