Deependra Singh Rathore
@deependrasinghrathor
I lead LLM training and optimization, turning NLP models into accurate, high-quality outputs.
What I'm looking for
I’m an AI/ML leader focused on LLM training, evaluation, and optimization, with a strong drive to deliver contextually accurate model behavior. Currently, I lead a team developing, training, and assessing large language models using advanced NLP, Python, and Machine Learning techniques.
In my role, I review and audit team work, resolve AI/ML edge cases, and mentor others on prompt engineering, data handling, and model behavior analysis. I also coordinate with team leads and management to streamline workflows, surface blockers, and contribute to AI alignment and RLHF strategies that improve training efficiency.
Before this, I built production-ready software through real-world shipping. As a Developer Intern, I redesigned the Sunya IAS website from the bottom up using Next.js server-side rendering to improve SEO and reduce load times, while leveraging AWS for scalable, secure infrastructure.
I also enjoy translating research into practical solutions—like deploying a GenAI-powered customer service bot, building a fashion recommender using OpenAI API, TF-IDF, ResNet50, and KNN, and earning recognition in competitive environments (including Xiaomi Ode2Code 3.0). I bring a data-quality mindset, fast iteration habits, and collaborative energy to every model and product I touch.
Experience
Work history, roles, and key accomplishments
Developer Intern
Sunya IAS
Sep 2024 - Nov 2024 (2 months)
Led a bottom-up redesign of the Sunya IAS website to improve user experience, performance, and brand alignment. Implemented server-side rendering with Next.js to enhance SEO and reduce load times, and used AWS for high availability, scalability, and security.
Education
Degrees, certifications, and relevant coursework
Netaji Subhas University of Technology
Bachelor of Technology, Computer Science (Data Science specialization)
2020 - 2024
Grade: Cumulative GPA: 7.73/10
Earned a Bachelor of Technology in Computer Science with a specialization in Data Science from 2020 to 2024, graduating with a cumulative GPA of 7.73/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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