AI Engineer with less than a year in Machine Learning & Computer Vision, specializing in healthcare
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Undergraduate student in Artificial Intelligence and Data Science with demonstrated experience in machine learning, computer vision, and AI-driven healthcare systems. Published IEEE research work and developed real-time intelligent systems for medical diagnosis and safety applications. Strong interest in applied AI research, medical imaging, and intelligent decision systems, with a focus on building scalable and impactful solutions.
Sanjivani University
B.Tech · Artificial Intelligence & Data Science
August 1, 2024 – June 30, 2028
Mizoram University, India
Research Intern
October 1, 2025 – Present
Mizoram, India
Unified Mentor
AI/ML Intern
October 1, 2025 – Present
India
Chronic Kidney Disease Detection using Machine Learning
October 1, 2025 – June 1, 2026
Designed and implemented an end-to-end ML pipeline for early CKD prediction using clinical datasets Performed exploratory data analysis, feature selection, and built interactive dashboards to visualize patient trends, model insights, and prediction outcomes. Achieved high classification accuracy using Logistic Regression, Decision Trees, and ensemble models Published and presented research in IEEE conference proceedings, demonstrating research and validation skills
Pneumonia Detection from Chest X-ray Images (Medical AI)
June 1, 2025 – June 1, 2026
Developed a computer-aided diagnostic system using the RSNA dataset for pneumonia classification Performed image preprocessing, feature extraction, and model training using Random Forest Evaluated model using precision, recall, and accuracy, ensuring reliability for medical use Deployed as a web-based system for real-time inference, enhancing accessibility
Driver Drowsiness Detection System (Real-Time Computer Vision)
June 1, 2025 – June 1, 2026
Built a real-time fatigue detection system using OpenCV and MediaPipe for facial landmark tracking Implemented temporal eye-closure analysis to detect drowsiness with improved reliability Integrated an interactive alert mechanism with gesture-based control (thumbs-up recognition) Developed a Streamlit-based interface for live monitoring and deployment readiness
AI Event Planner (NLP + Optimization)
June 1, 2025 – June 1, 2026
Designed an AI-based scheduling assistant using NLP and optimization techniques Automated event planning tasks, reducing manual effort and improving efficiency
Safesteps: IoT-based Child Safety & Tracking System
June 1, 2025 – June 1, 2026
Engineered a real-time GPS tracking system using ESP32-CAM and Neo6M modules Implemented geofencing and alert mechanisms for enhanced safety Recognized at state-level exhibitions and innovation competitions
RaceMate AI - Formula 1
June 1, 2025 – June 1, 2026
Developed a futuristic F1 AI co-pilot web app using Next.js, IBM Granite LLM, and Langflow for intelligent real-time race engineering Performed telemetry simulation and AI prompt engineering for fuel, tire, and weather analysis across live race scenarios Implemented voice interaction system using Web Speech API with push-to-talk, speech-to-text, and text-to-speech AI responses Deployed production-ready application on Vercel with animated Monaco track, driver HUD dashboard, and emergency alert system
Github Repository Architecture Navigatore
June 1, 2025 – June 1, 2026
Built full-stack GitHub Repository Analyzer using React + FastAPI with architecture graphs, file summaries, and AI-powered Q&A Implemented Google OAuth + JWT authentication with Supabase and Razorpay payment gateway for freemium subscription model Developed Open Source Contribution Assistant with repo-type detection, Readiness Score, and personalized GSoC roadmap generation Deployed production app on Render + Vercel with OpenAI integration, CORS security, and environment-based secrets management
Research Finalist – Ideathon 8.0 (National Level)
Unknown
June 1, 2026 – Present
Exhibitor - DIPEX State-Level Innovation Expo
DIPEX
June 1, 2026 – Present
Google Campus Ambassador
June 1, 2026 – Present
Campus Ambassador - Top 10 Performer, IIT Bombay
IIT Bombay
June 1, 2026 – Present
Claude 101
ANTHROPIC
May 15, 2026 – May 15, 2026
Business Intelligence
IBM Career Education Program
April 13, 2026 – April 13, 2026
IBM DevOps, Agile & Design Thinking Certification
IBM Career Education Program
November 20, 2025 – November 20, 2025
SQL (Basic)
HackerRank
June 16, 2025 – June 16, 2025
MongoDB Data Modeling Intro Certification
MongoDB
June 13, 2025 – June 13, 2025
MongoDB Transactions
MongoDB
June 13, 2025 – June 13, 2025
IEEE Conference Publication & Presentation - CKD Detection
IEEE
January 1, 2025 – Present
Data Science and AIML Internship
Ybi Foundation
December 17, 2024 – December 17, 2024
Introduction to Python
IBM Career Education Program
November 23, 2024 – November 23, 2024
Cultural Fit Analysis
The candidate's diverse academic projects, including healthcare AI, IoT, and full-stack AI applications, demonstrate a broad interest and adaptability, which aligns well with an innovative culture. Their participation in various competitions and certifications also shows a drive for continuous learning and self-improvement. The target role of 'AI Engineer' is well-aligned with their project experience and stated research profile. However, the lack of significant professional experience means their ability to integrate into a corporate team and navigate complex organizational structures is yet to be fully proven.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and a proactive learning attitude through numerous academic projects, internships, and certifications. Their involvement in state-level exhibitions and campus ambassador roles suggests good communication and teamwork potential. The focus on real-world applications in projects (e.g., healthcare, safety) indicates a problem-solving mindset. However, with limited professional experience, their operational fit in a fast-paced, senior-level environment needs further validation.