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AI Engineer with less than a year in Machine Learning & NLP
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Assessing your cultural and operational fit
Highly motivated AI/ML Software Developer Intern with 0.9 years of experience in developing AI-driven systems and machine learning models. Proficient in Python, TensorFlow, PyTorch, and NLP, with a strong background in data analysis and system design. Eager to contribute to innovative projects and enhance decision-making through advanced AI solutions.
University of California, Davis
Master of Science · Computer Science
August 1, 2024 – June 30, 2026
SRM Valliammai Engineering College
B.E · Computer Science
August 1, 2020 – June 30, 2024
UC Davis (Department of Computer Science)
Teaching Assistant
January 1, 2026 – March 31, 2026
India
California Department of Public Health
SWE Intern, Data & Systems
September 1, 2025 – December 31, 2025
India
Koni Ameri Tech Services Inc.
AI/ML Software Developer Intern
June 1, 2025 – September 30, 2025
India
Skillmax Academy
Campus Ambassador
January 1, 2022 – March 31, 2022
India
Growth Central VC
Subject Matter Expert Intern
November 1, 2021 – December 31, 2021
India
Feasibility Lens
February 1, 2025 – February 28, 2025
• Developed a system to assess research feasibility by integrating Retrieval-Augmented Generation (RAG) with LLMS, optimizing domain-specific knowledge retrieval. • Improved retrieval accuracy from 0.53 to 0.8 and classification accuracy from 0.5 to 0.9 using retrieved text context.
View ProjectOptimizing Donor-Patient Compatibility for Organ Allocation
March 1, 2024 – March 31, 2024
• Developed a kidney allocation system that matches donors to recipients based on kidney size, donor location, and blood group, achieving 95% accuracy. • Processed and prepared a dataset of 40,000 entries for analysis and model development.
Medical Mask Recognition using DL
November 1, 2023 – November 30, 2023
• Designed and implemented a medical mask recognition system using live video streams to detect mask usage and trigger alerts for non-compliance. • Analyzed 16,000 data samples prior to model training and achieved 99% accuracy.
Medical Mask Recognition using Deep Learning
Paper
April 1, 2024 – Present
Enhancing NLP Models for Sentiment Analysis in Social Media Texts
Paper
August 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest in applying AI/ML to practical problems, particularly in healthcare and public health, which aligns with roles focused on impactful technological solutions. The diversity of projects (RAG, medical image recognition, optimization) and involvement in both academic and industry settings suggest adaptability and a broad technical curiosity. The teaching assistant role also indicates a willingness to collaborate and mentor.
Soft Skills & Operational Fit
The candidate's experience as a Teaching Assistant and Campus Ambassador suggests good communication and leadership potential. Project descriptions indicate an ability to work on complex problems and deliver measurable results. The internship at California Department of Public Health shows an ability to apply technical skills in a real-world, operational context.