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AI Engineer with 2+ years in Machine Learning & Deep Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
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
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 1, 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 1, 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.
Live Flight Map Tracker
June 1, 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
Medicine Recommendation System
June 1, 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 1, 2026 – Present
Built regression models predicting crop yield from multivariate sensor data (rainfall, temperature, NPK, pH) with R² score of 0.88
Credit Card Fraud Detection
June 1, 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
Real-Time Location Tracking with Kafka
June 1, 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 1, 2026 – Present
Built YOLOv8-based real-time weed detection system for precision agriculture, classifying weeds vs crops from drone imagery with 91% mAP
AI & ML
Imarticus Learning
June 1, 2026 – Present
CodSoft
Unknown
June 1, 2026 – Present
Data Science
IAB
June 1, 2026 – Present
InternBridge
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from healthcare AI to fintech fraud detection and precision agriculture, indicates adaptability and a broad interest in applying AI across various industries. Their involvement in hackathons and a research publication suggests a drive for innovation and continuous learning, which are positive indicators for cultural fit in a dynamic AI engineering environment. The current AI/ML Engineer Intern role at Aimple AI Private Limited directly aligns with the target role, showing a clear career trajectory and commitment to the field. The breadth of skills across ML/DL frameworks, Generative AI, MLOps, and big data technologies further enhances their cultural fit for a versatile AI engineering team.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and a proactive learning attitude through multiple internships, hackathon participation, and a peer-reviewed publication while still pursuing their B.Tech degree. Their project descriptions indicate an ability to work on complex, real-world problems and optimize solutions. The focus on practical application (e.g., optimizing precision-recall for fraud detection, real-time systems) suggests a results-oriented approach. However, without direct interview data, specific soft skills like teamwork, leadership, or conflict resolution cannot be fully assessed.