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AI Engineer with less than a year in AI/ML, Python & Flutter for end-to-end applications.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI & Data Science undergraduate with hands-on experience building end-to-end AI-powered applications — real-time object detection, carbon analytics, employee performance prediction, and a mental health monitoring platform. Proficient in Python, ML, Deep Learning, FastAPI, and Flutter.
Aalim Muhammad Salegh College of Engineering
B.Tech · Artificial Intelligence & Data Science
August 1, 2023 – June 30, 2027
Circularcarbon Technologies Pvt Ltd
AI & Machine Learning Intern
December 1, 2024 – January 1, 2025
Chennai, Tamil Nadu, India
Employee Performance & Predictive Analytics Dashboard
June 1, 2026 – Present
AI dashboard monitoring workforce KPIs; in-browser TensorFlow.js model forecasts performance trends. Features interactive charts, PDF export, AI chatbot assistant, and voice command interface.
EcoTrack / EcoSnap - Carbon Footprint Trackers
June 1, 2026 – Present
YOLOv8 object-detection pipeline mapping detections to CO2 estimates via React + FastAPI. Streamlit webcam app with ~40% latency reduction through inference caching.
AI-Based Server Load Optimizer
June 1, 2026 – Present
LSTM model forecasting server load for pre-emptive scaling, served via FastAPI.
MindTwin - AI Mental Health Monitoring Platform
June 1, 2026 – Present
Cross-platform app (Android/iOS/Web) with role-based access for patients and therapists. Digital Twin engine tracks mood, sleep and voice tone; ML service predicts crisis risk and alerts therapists. Full clinical workflow: scheduling, session notes, treatment tracking and encrypted messaging.
View ProjectBusiness Analysis
Coursera
June 1, 2026 – Present
AI for Beginners
Microsoft
June 1, 2026 – Present
AI/ML Intern
Circularcarbon
June 1, 2026 – Present
TCS ION Career Edge
TCS ION
June 1, 2026 – Present
Generative AI
AWS
June 1, 2026 – Present
Python & SQL
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in applying AI to real-world problems, including sustainability (EcoTrack, Circularcarbon internship) and social impact (MindTwin). The breadth of personal projects showcases initiative and a proactive learning attitude, which aligns well with an innovative and growth-oriented culture. The certifications also indicate a commitment to continuous learning. However, the candidate is still an undergraduate with limited professional experience, which might require mentorship in a team setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate business needs into data-driven solutions and collaborate with product/engineering teams, suggesting good operational fit. The diversity of projects also implies problem-solving and adaptability. However, without direct assessment data, specific soft skill strengths like logical reasoning, work attitude, stress handling, and team collaboration cannot be definitively evaluated.