Sahil Kumar Nayak
Linkedin GitHub
Email:-Phone: -
Education
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Indian Institute of Technology, Roorkee
Bachelor of Technology - Chemical Engineering, GPA - 6.56
Roorkee, India
November 2020 - Aug 2024
Courses: OOP, DBMS, Data Structures and Algorithms
Skills Summary
• Computer Languages:
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C/C++, Python, SQL
Technical Skill: Machine Learning, Deep Learning, NLP, GenAI, Prompt Engineering, LLM Fine-tuning
Frameworks & Libraries: Scikit-Learn, TensorFlow, Numpy, Pandas, OpenCV
Data Visualization : Matplotlib, Seaborn, Plotly, Cufflinks
Tools & Platforms: Git, PostgreSQL, VS Code, Cursor, Linux, Windows, Google Cloud Platform, GitHub
Soft Skills: Problem-solving, Decision-making, Reasoning, Team management
Languages: English (Full professional), Hindi (Native)
Work Experience
• Keywords Studios, Gurugram:
July 2025 - Present
Research Associate AI
◦ Designed and implemented advanced Chain of Thought (CoT) prompts to improve large language model reasoning,
resulting in a 10% increase in overall performance accuracy.
◦ Engineered prompt-based training workflows to improve AI model retrieval performance across diverse web content,
resulting in a 25% boost in task efficiency.
◦ Applied the rate-and-record evaluation method across 200+ tasks to enhance LLM output quality, improving alignment
with human reasoning and closing the gap between model responses and human intuition.
• Outlier — Remote:
October 2024 - March 2025
Prompt Engineer
◦ Programmed a novel AI model employing Python to tackle intricate graduate-level math challenges.
◦ Pioneered novel prompt engineering strategies, improving the LLM’s ability to solve complex mathematical problems,
resulting in a 40% increase in the accuracy of generated solutions.
◦ Recommended adjustments to problem complexity levels on the Outlier platform, leading to a 15% increase in user
completion rates and a measurable improvement in positive user feedback scores after implementation.
• Futures First — Remote:
May 2023 - July 2023
Quantitative Finance Intern
◦ Improved expertise in analyzing central bank policies across five major economies; identified critical factors influencing
monetary policy adjustments while optimizing the approach toward investment strategies.
◦ Conducted a rigorous statistical analysis on key economic indicators, uncovering crucial relationships with central bank
interest rate changes in 10 diverse economies, improving the accuracy of the forecast for future financial strategies.
◦ Constructed yield curves (interest rate vs. time) using 2 decades of historical data to analyze interest rate trends and
support fixed-income financial modeling.
Projects
• RAG Powered AI Chatbot— Link :
May 2025 - June 2025
◦ Built a RAG-based AI chatbot using Langchain, Streamlit, and Chroma database that answers questions grounded
in custom PDF documents.
◦ Integrated Gemini Flash 2.0 API for LLM communication, improving model efficiency by 10%.
• Panoramic Image Creation — Link :
February 2025 - March 2025
◦ Built a pipeline for panoramic image creation using Python, C++, and OpenCV involving processes like feature
matching, image blending, stitching, and preprocessing.
◦ Achieved 85% accuracy in aligning images with varying perspectives and lighting conditions, making the solution robust
for applications in photography, mapping, and surveillance.
• Yelp Review project using Natural Language Processing (NLP) — Link:
December 2024 - January 2025
◦ Implemented automated sentiment analysis on 5,000+ Yelp reviews, identifying the three most common drivers of
negative reviews, enabling restaurants to implement targeted service enhancements.
◦ Predicted an expected rating based on customer reviews with an efficiency of 90%, providing valuable business insights.
• Clustering Stocks using K-Means Algorithm — Link:
November 2024 - December 2024
◦ Developed a tool to optimize returns and manage risks, utilizing cluster analysis to categorize stocks with similar
attributes and minimal correlation.
◦ Emphasized the importance of early investments for long-term financial security and simplified stock assessment to
improve decision-making and mitigate market risks.
Extracurriculars
• Google Cloud Arcade Facilitator Program:
◦ Gained in-depth understanding of core Google Cloud Platform (GCP) services through hands-on labs and guided learning
modules.
