Ranjan
Mal Bazar, Jalpaiguri Division, West Bengal, India
Experience: 2 years
Open to: Full-Time, Part-Time
Education: Masters
Availability: Within 30 Days
Skills: AWS, Azure, Dart/Flutter, Docker, Figma, GCP, Git, JavaScript, Jupyter Notebooks, Kubernetes, LLMs/ChatGPT, Matplotlib, MongoDB, MySQL, Node.js, NumPy, pandas, PostgreSQL, Postman, PowerShell, Problem Solving, Python, Python3, PyTorch, R, React, TensorFlow
Previously worked at: India-based Companies, IT Service Companies, Product Companies, Startups, US-based Companies
Assessment Score: 80
- Educational Background
Holds a Master’s in Computer Science from Banaras Hindu University (2023) with a CGPA of 8.0, and a B.Sc. in Computer Science from the University of North Bengal (2021) with a CGPA of 8.30. His thesis focused on generative AI and program synthesis. - Current Role and Experience
Currently working as an ML Engineer at Vsynergize AI since May 2024, where he engineered an AI-powered HR assistant, achieving over 90% accuracy in the interview process, and developed a RAG-based AI system that improved data retrieval efficiency by 50%. - Previous Experience
Worked as an AI Engineer – R&D at Kushmanda Tech (Dec 2023 – May 2024), where he researched program synthesis and optimized Transformer models for resource-constrained environments, reducing training time by 80% and computational costs by 70%. - Key Projects
Led the development of a Script Generation AI project (Mar 2023 – Jul 2023), implementing a sequence-to-sequence model with Masked Language Modeling (MLM) to generate Shakespearean plays, achieving improved perplexity scores for character sequence output. - Technical Expertise
Proficient in Python, Pytorch, TensorFlow, FAISS, and various machine learning techniques, including program synthesis, NLP, generative AI, and LLMOps, with hands-on experience in deploying AI systems for real-time applications. - Certifications and Achievements
Completed certifications in Generative AI with Large Language Models from DeepLearning.AI and AWS, along with courses in Data Science and Python from IIT Ropar and IIT Madras. Recognized for excelling in R&D and managing the entire LLMOps lifecycle.