About rishikesh
I’m an AI/ML enthusiast at IIT Patna focused on building intelligent systems that bridge research and real-world impact. My interests span across Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), Vision-Language Models, Reinforcement Learning, and Self-Supervised Learning. I enjoy working at the intersection of classical machine learning and modern large language model applications—designing systems that are not just accurate, but scalable and production-ready. Technically, I work primarily with Python, and have hands-on experience with: Machine Learning & Deep Learning pipelines LLM fine-tuning and RAG architectures Computer Vision & multimodal systems Data analytics and visualization I’m particularly driven by solving real-world problems—whether that’s building intelligent AI agents, developing multimodal systems, or transforming raw data into actionable insights. Beyond technology, sports play a major role in shaping my mindset. Cricket and rugby have strengthened my teamwork and resilience, chess sharpens my strategic thinking, and swimming builds discipline. These experiences influence how I approach problem-solving—with patience, structure, and long-term vision. I’m always open to collaborating on innovative AI projects, research opportunities, and impactful internships. Let’s build intelligent systems that matter.
Key Skills
Experience
Research Internship
CurrentIndian Institute Of Technology, Patna
* Research Intern – Deep Learning * Department of Mathematics, IIT Patna * Under Dr. Ranjeet Ranjan Jha * Conducted research in Deep Learning with a focus on mitigating hallucination in Large Language Models (LLMs) for text-based problem domains. * Investigated causes of hallucination in transformer-based LLMs, particularly in knowledge-intensive and reasoning-heavy text tasks * Designed and implemented fine-tuning strategies (including supervised fine-tuning and parameter-efficient approaches) to improve factual consistency and response reliability * Explored Retrieval-Augmented Generation (RAG) pipelines to ground model outputs using external knowledge sources * Performed extensive data preprocessing, prompt engineering, and evaluation using benchmark datasets * Evaluated model performance using metrics focused on factual accuracy, coherence, and hallucination reduction * Contributed to literature review, experimental design, and research documentation toward potential publication * This research strengthened my understanding of transformer architectures, fine-tuning techniques, hallucination mitigation strategies, and real-world deployment challenges of LLM systems.
Campus Ambassador
Kshitij, Iit Kharagpur
Education
Indian Institute Of Technology, Patna
Bachelor Of Science
T.n.b. College, Bhagalpur
Interested in connecting with rishikesh?
Sign up for NinjaHire to send a connection request.
Common Questions
What is rishikesh's expertise?
rishikesh specializes in LLM Engineer, with expertise in ai hallucination mitigation, ai system design, enterprise ai solutions, experimental design, generative ai.
Where is rishikesh located?
rishikesh is based in patna, bihar, india.
How much experience does rishikesh have?
rishikesh has 2+ years of professional experience.
How can I contact rishikesh?
You can connect with rishikesh through NinjaHire by signing up for a free account.
Other LLM Engineers
Looking for a different LLM Engineer?
Describe exactly who you need and NinjaHire will source them for you.
Type a role to try NinjaHire for free