AI Engineer with 2+ years in deep learning, computer vision, and NLP.
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Assessing your cultural and operational fit
Final-year B.Tech (CSE) student and published AI/ML researcher with 4+ internships, 5+ deployed projects, and a peer-reviewed publication (IJIRTM, Apr 2025, IF 5.86) on multi-modal disease detection. Experienced in building and deploying deep learning, computer vision, and NLP models using Python, TensorFlow, PyTorch, OpenCV, and Scikit-learn. Seeking a full-time ML/AI Engineer or Data Scientist role to deliver production-grade intelligent systems.
Panipat Institute of Engineering & Technology (Kurukshetra University)
B.Tech · Computer Science & Engineering
August 1, 2022 – June 30, 2026
Hindustan Aeronautics Limited (HAL)
Data Science Intern
July 1, 2025 – July 1, 2025
India
83incs Softech Pvt. Ltd
Web Development & UI/UX Intern
June 1, 2025 – August 1, 2025
India
Aimple AI Private Limited
AI/ML Engineer Intern
January 1, 2025 – Present
India
AppSquadz Software Pvt. Ltd
Data Science Intern
April 1, 2024 – July 1, 2024
India
Curewia - Multi-Modal AI Framework
June 17, 2026 – Present
Designed integrated deep learning system combining EEG, MRI, and retinal imaging for early detection across 3 disease categories; published in IJIRTM (IF 5.86) as sole author. Achieved high classification accuracy across brain tumors, neurological disorder, and ocular disease detection using CNN and transfer learning architectures.
Brain Tumor Detection using CNN
June 17, 2026 – Present
Built CNN model classifying brain MRI scans with 96%+ accuracy on a dataset of 2,000+ images with data augmentation (rotation, flipping,). Visualized model decisions using Grad-CAM activation maps; evaluated with confusion matrix and ROC curve.
Credit Card Fraud Detection
June 17, 2026 – Present
Built fraud classification model on highly imbalanced dataset using SMOTE oversampling + Random Forest ensemble, achieving F1-score of 0.94 with <2% false positive rate. Optimized precision-recall tradeoff to minimize false positives - directly applicable to fintech production environments.
Live Flight Map Tracker
June 17, 2026 – Present
Built real-time flight tracking app fetching live aircraft data via REST API and rendering 100+ aircraft markers on interactive Leaflet.js map with WebSocket-based auto-refresh every 10 seconds. Deployed on Flask web app with altitude, speed overlays, and flight path trails - demonstrates real-time IoT-style data pipeline skills.
Real-Time Location Tracking with Kafka
June 17, 2026 – Present
Designed real-time geospatial tracking system using Kafka producer-consumer architecture processing 1,000+ location events/sec. Integrated WebSocket API with Leaflet.js frontend for live map visualization with sub-second latency.
Weed Detection using YOLO
June 17, 2026 – Present
Built YOLOv8-based real-time weed detection system for precision agriculture, classifying weeds vs crops from drone imagery with 91% mAP.
Medicine Recommendation System
June 17, 2026 – Present
Developed end-to-end AI system recommending medicines, diets, and precautions based on patient-reported symptoms using ML classification backend deployed via Flask REST API.
Crop Yield Prediction
June 17, 2026 – Present
Built regression models predicting crop yield from multivariate sensor data (rainfall, temperature, NPK, pH) with R² score of 0.88.
Data Science
IAB
June 1, 2026 – Present
AI & ML
Imarticus Learning
June 1, 2026 – Present
InternBridge
InternBridge
June 1, 2026 – Present
CodSoft
CodSoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including a published research paper and participation in hackathons, indicates a proactive and innovative mindset. Their experience across different domains (healthcare, agriculture, finance, aerospace) suggests adaptability and a willingness to tackle varied challenges. The target role of AI Engineer aligns well with their demonstrated skills in deep learning, computer vision, and MLOps. The breadth of technologies used also points to a continuous learning attitude, which is a positive cultural fit for dynamic tech environments.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and independent work ethic, evidenced by a sole-authored publication and active participation in hackathons. Their project descriptions highlight problem-solving and optimization skills. The experience in web development and UI/UX also suggests an ability to work in cross-functional teams and consider user experience, which is beneficial for deploying AI solutions. However, without specific psychometric test results, a detailed assessment of stress handling or team collaboration is not possible.