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AI Engineer with less than a year in Machine Learning and NLP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To apply practical experience gained through Python-based projects, database-driven applications, and problem-solving tasks to build efficient and scalable solutions, while continuously strengthening technical skills and contributing meaningfully to organizational objectives
Sri Manakula Vinayagar Engineering College
Bachelor of Technology · Artificial Intelligence and Data Science
January 1, 2022 – January 1, 2026
Brainy BloomsL'EcoleInternationale
Higher Secondary Education
January 1, 2020 – January 1, 2022
Aditya Vidyashram ResidentialSchool
Secondary School Education
January 1, 2019 – January 1, 2020
DRUG INTERACTION AND SIDE EFFECTS PREDICTOR
June 1, 2026 – Present
AI-powered drug-drug interaction prediction using LLMs Designed and implemented an AI model to analyze and predict potential drug-drug interactions (DDIs) leveraging Llama 3 and advanced NLP techniques.
AI POWERED SMART PARKING SYSTEM
June 1, 2026 – Present
Worked on a smart parking solution that predicts and monitors available slots in real time using YOLOv8. Developing license-plate recognition with EasyOCR & vehicle tracking using DeepSORT to log entry/exit events, calculate parking duration & detect violations.
Machine Learning
Great Learning
June 1, 2026 – Present
HTML, CSS, JavaScript
Great Learning
June 1, 2026 – Present
Python for Data Science
NPTEL
June 1, 2026 – Present
Data Structures, Python
Great Learning
June 1, 2026 – Present
Python
SkillRack
June 1, 2026 – Present
SQL
SkillRack & Great Learning
June 1, 2026 – Present
Paper accepted at ICAISDA-2025, to be published in Springer Nature (AISR).
Springer Nature (AISR)
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a problem-solving mindset, which aligns with an innovative culture. The diversity of projects (NLP/LLM and Computer Vision) shows a broad interest within AI. However, the lack of professional experience means cultural fit is primarily inferred from academic engagement and project descriptions.
Soft Skills & Operational Fit
The candidate lists Time Management, Team Work, Multi-tasking, Creative Thinking, and Leadership as soft skills. While these are valuable, there is no assessment data to validate their proficiency in these areas. The operational fit is currently limited due to lack of professional experience.