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AI/ML Software Engineer with less than a year in Machine Learning & Data Science
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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 contributing to electronic healthcare solutions. Proficient in machine learning algorithms, NLP, and data analysis, with a strong background in Python, TensorFlow, and cloud platforms. Skilled in building end-to-end applications and optimizing data-driven decision-making, as demonstrated through innovative projects and internships.
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 1, 2026
India
California Department of Public Health
SWE Intern, Data & Systems
September 1, 2025 – December 1, 2025
India
Koni Ameri Tech Services Inc.
AI/ML Software Developer Intern
June 1, 2025 – September 1, 2025
India
Skillmax Academy
Campus Ambassador
January 1, 2022 – March 1, 2022
India
Growth Central VC
Subject Matter Expert Intern
November 1, 2021 – December 1, 2021
India
Feasibility Lens
February 1, 2025 – February 1, 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 1, 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 1, 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
Unknown
April 1, 2024 – Present
Enhancing NLP Models for Sentiment Analysis in Social Media Texts
Unknown
August 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from medical mask recognition to organ allocation and research feasibility, indicates a broad interest in applying AI/ML to various domains. Their academic background (Master's in Computer Science) and internships align well with a research-oriented or advanced development role in AI/ML. The involvement in a teaching assistant role and campus ambassador position suggests a collaborative and proactive attitude. The candidate's skills and experience are well-aligned with the target AI/ML Software Engineer role, demonstrating a strong cultural fit for a technically demanding and innovative environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project work, particularly in optimizing algorithms and improving accuracy. Their experience as a Teaching Assistant suggests good communication and mentorship abilities. The project descriptions indicate an ability to work independently and deliver measurable results. The internship at California Department of Public Health shows an understanding of applying AI solutions to real-world operational challenges.