Rishabh
Valsad, Gujarat, India
Experience: 1 years
Open to: Full-Time
Education: Bachelors
Availability: Immediate
Skills: Dart, Docker, Figma, Firebase, Git, Java, JavaScript, Jupyter Notebooks, Kotlin, LLMs/ChatGPT, Matplotlib, MongoDB, MySQL, Notion, NumPy, pandas, PowerShell, Problem Solving, Python, Python3, PyTorch, R, React, Scala, scikit-learn, TensorFlow
Previously worked at: India-based Companies, Startups
Assessment Score: 80
- Educational Background
Pursuing a Bachelor of Technology in Computer Science from Vellore Institute of Technology (Expected April 2025), with a CGPA of 9.0. Completed Class 12 and 10 from Atul Vidyalaya with strong academic performance, achieving CGPAs of 8.3 and 9.0, respectively. - Work Experience
Gained valuable experience through internships, including a research internship at IIT Kanpur, where he built a ticket generation website, designed a course recommendation model, and conducted penetration testing. Currently a Machine Learning Intern at Flipper Code, developing and optimizing image generation models. - Technical Expertise
Skilled in machine learning, AI, and emerging technologies, with hands-on experience in deep learning, Python programming, and full-stack web development. Proficient in libraries and frameworks such as TensorFlow, PyTorch, React, Flask, and Scikit-learn. - Key Projects
Led projects such as the Emergency Surveillance Car with real-time object detection, the Ticket Generating Website using React and Flask, and the VENDV automated medicine vending machine integrating IoT and mobile app development. Currently working on a Quantum CNN for image classification using quantum circuits. - Accomplishments
Completed the Machine Learning Specialization by Stanford University on Coursera under Andrew Ng, and was a finalist in the state-level HACK-AP hackathon. Also, a national-level football player, demonstrating a strong commitment to excellence both academically and athletically. - Skills and Competencies
Adept in Python, Java, R, SQL, NoSQL, and HTML/CSS. Experienced in machine learning, data analytics, predictive modeling, and deep learning, with practical knowledge of frameworks like TensorFlow, PyTorch, Pandas, and Scikit-learn.