Rahul
Mumbai, Maharashtra, India
Experience: 1 years
Open to: Full-Time
Education: Masters
Availability: Immediate
Skills: AWS, Azure, Docker, Git, Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, MongoDB, MySQL, NumPy, pandas, PostgreSQL, Python, Python3, PyTorch, scikit-learn, TensorFlow
Previously worked at: IT Service Companies, Startups
Assessment Score: 100
- Educational Background
Completed M.Tech in Cryogenic Engineering from IIT Kharagpur (2021-2023) with a CGPA of 8.67/10 and B.Tech in Mechanical Engineering from KJSCE, Mumbai University (2015-2019) with a CGPA of 7.46/10. - Professional Experience
Currently working as a Machine Learning Engineer at Brane Group (January 2024 – Present), where responsibilities include developing NLP-based systems, implementing transformer models, creating high-accuracy face recognition systems, and fine-tuning large language models like LLaMA 2 for specific tasks. - Technical Expertise
Skilled in AI and ML libraries such as TensorFlow, PyTorch, HuggingFace, and Scikit-learn, and experienced in working with databases like MySQL, SQLite, MongoDB, and Milvus (vector DB). Proficient in programming languages C, Python, and JavaScript, with strong hands-on experience in cloud platforms like AWS and Azure. - Project Highlights
Led several high-impact projects including a face recognition system with DeepFace, a retrieval-augmented generation (RAG) chatbot, and a customer support chatbot during an AI research internship at Tech Mahindra (2023), improving user interaction with advanced memory integration. - Certifications and Training
Certified in Azure AI solutions (AI-102), Deep Learning from IIT KGP, and ML/DL for Remote Sensing Data by ISRO, equipping with specialized knowledge in machine learning, deep learning, and remote sensing applications. - Leadership and Research
Contributed to multiple advanced research projects at IIT Kharagpur, including the prediction of collapse factors for ISRO’s rocket propellant tanks and the development of a semantic segmentation model for underwater images, demonstrating a strong foundation in data science and machine learning applications across industries.