Ritesh
Pune, Pune Division, Maharashtra, India
Experience: 1 years
Open to: Full-Time
Education: Bachelors
Availability: Within 30 Days
Skills: CPP, Jupyter Notebooks, LLMs/ChatGPT, pandas, PowerShell, Python, Python3, PyTorch, TensorFlow
Previously worked at: Startups
Assessment Score: 75
- Professional Experience
A Machine Learning Engineer with hands-on experience in deep learning, computer vision, and NLP. Currently working at SmartQR Technologies (HealthLedger Diagnostics), where I lead the development of advanced models like YOLOv8 and EasyOCR to enhance diagnostic accuracy and health-related applications. - Technical Expertise
Proficient in programming languages such as C, C++, Python, and SQL, with expertise in libraries and frameworks like TensorFlow, PyTorch, Langchain, Yolo, and OpenAI. Strong background in machine learning, deep learning, generative AI, and computer vision technologies. - Academic Background
Currently pursuing a B-tech in Computer Science Engineering from JSPM’s Rajarshi Shahu College of Engineering, Pune, with a CGPA of 8.83. Completed SSC and HSC with high distinctions, demonstrating a solid academic foundation. - Key Projects
Developed a Real-Time Body Augmentation system using the Barracuda model and Unity, and created a Mobile Price Prediction system with 95% accuracy. Also, developed web scraping solutions using BeautifulSoup, Langchain, and OpenAI for advanced data extraction and question-answering tasks. - Certifications and Training
Completed certifications in Machine Learning, Python, C/C++, and Generative AI from prestigious platforms including Google Cloud and Cisco Networking Academy. Demonstrated practical knowledge through project-based learning and professional development. - Achievements and Recognition
Secured second place in a project competition organized by ACM, and won multiple sports awards such as a cricket tournament and table tennis competition. Actively involved in R&D, improving product accuracy with cutting-edge models like YOLOv9 and YOLO-NAS.