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AI Engineer with less than a year in AI-driven CAD, LLM merging, and data analysis.
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Third Year Undergraduate pursuing B.Tech in Biological Sciences and Bioengineering with practical experience in AI-driven CAD systems, LLM model merging for enhanced accuracy, and predictive modeling for calorie expenditure. Proficient in Python, pandas, scikit-learn, and CAD model processing. Demonstrates strong leadership and organizational skills through various extracurricular and leadership roles, including managing large-scale events and coordinating teams.
Indian Institute of Technology Kanpur
B.Tech
August 1, 2023 – Present
Govt. Sen. Sec. School Pugal, Bikaner
RBSE (XII)
June 1, 2022 – May 31, 2022
Govt. Sen. Sec. School Pugal, Bikaner
RBSE(X)
June 1, 2020 – May 31, 2020
IIT Kanpur
Winter Intern - PLM Project
December 1, 2025 – Present
Kanpur, Uttar Pradesh, India
Model Merging in LLM
October 1, 2025 – Present
Explored LLM model merging by combining two HuggingFace transformer models to improve accuracy, stability, and output consistency. Selected compatible pretrained LLMs from HuggingFace, validating architecture alignment and tokenizer compatibility. Applied structured merging methods including weight averaging, layer-wise blending, and task arithmetic to create hybrid models. Evaluated merged models with curated prompts, testing accuracy, reasoning consistency, and performance improvements over base models. Achieved a merged LLM showing enhanced response stability, higher accuracy, and reduced variance compared to individual pretrained models.
View ProjectCalories Burnt Predictions
May 1, 2025 – June 1, 2025
To Develop a good model to predict calorie expenditure using user characteristics, activity details, and health metrics. Cleaned and fully prepared a Kaggle dataset using pandas; visualized with count plots, histograms, and boxplots. Analyzed correlations with heatmaps, retained genuine outliers, and selected key features from user activity and vitals. Applied Linear Regression using scikit-learn, evaluated models with R-squared, MAE, MSE after preprocessing. Maximized calorie burn, focus on ideal activity duration (0.96), heart rate (0.90), and body temperature (0.82).
View ProjectCultural Fit Analysis
The candidate's extensive involvement in extracurricular activities, leadership roles, and academic projects demonstrates a well-rounded profile. Their participation in various sports events and cultural organizations at IIT Kanpur suggests a strong ability to collaborate, adapt, and contribute to a diverse team environment. The academic and personal projects align well with an AI Engineer role, indicating genuine interest and initiative in the field. This breadth of experience and proactive engagement suggests a good cultural fit for a dynamic and collaborative technical team.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and organizational skills through various positions of responsibility at IIT Kanpur, including Organiser for Udghosh'25 and Secretary for Hindi Sahitya Sabha and Institute Athletics Team. These roles indicate an ability to coordinate teams, manage logistics, resolve issues, and execute large-scale events. The candidate's participation in sports also suggests discipline and teamwork. These experiences point to a proactive and collaborative work attitude, which is beneficial for operational fit.