AI Engineer with less than a year in NLP, Computer Vision, and Gen AI.
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Assessing your cultural and operational fit
Computer Science graduate with hands-on experience building AI-powered applications in NLP, Computer Vision, and Gen AI. Developed HireMind, an AI-driven ATS and resume analysis platform, SnapClass, a multimodal attendance system using facial and voice recognition, and a real-time AI Gym Coach for posture tracking. Skilled in Python, PyTorch, FastAPI, Streamlit, AWS, and modern AI frameworks, with a strong interest in scalable, production-ready AI solutions.
Suryadatta College Of Management Information Research & Technology (SCMIRT)
Bachelor of Science · Computer Science
September 1, 2022 – March 1, 2026
SnapClass: AI-Powered Attendance System
June 24, 2026 – Present
Developed a multimodal AI system using dlib for facial recognition and Resemblyzer for voice identification to automate classroom attendance. Integrated a Supabase backend for real-time data management and deployed a multi-role dashboard via Streamlit for teachers and students.
View ProjectHIREMIND: AI Powered Resume Scorer and ATS Analyzer
June 24, 2026 – Present
Developed an AI-driven ATS platform using Sentence Transformers, spacy, and NLP techniques to analyze resumes against job descriptions, performing semantic matching, and generate explainable ATS compatibility scores. Built a full-stack application with FastAPI, Streamlit, Supabase, and Groq LLM integration, featuring resume parsing, skill extraction, personalized feedback generation, and automated PDF report creation. Deployed on AWS EC2 using Docker.
View ProjectReal Time AI Gym Coach
June 24, 2026 – Present
Developed a real-time AI fitness coach using MediaPipe, OpenCV, and Python for posture tracking, exercise analysis, and repetition counting. Built an interactive Streamlit-based system providing live exercise feedback and optimized pose landmark processing for smooth real-time performance.
View ProjectCultural Fit Analysis
The candidate's projects showcase a strong interest in applying AI to solve real-world problems, aligning well with an innovative and problem-solving culture. The diversity of projects (attendance, ATS, fitness coach) indicates adaptability and a broad interest in AI applications. However, the lack of professional experience or team-based projects makes it challenging to fully assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
The candidate demonstrates initiative and a project-driven approach, indicating a proactive work attitude. The project descriptions suggest an ability to work independently and deliver functional prototypes. However, without psychometric test results or interview data, it's difficult to assess stress handling, team collaboration, or broader operational fit.