Mobile: +91 9310827546 | Email: 2005nalinsharma@gmail.com | Website: nalinsharma.co.in
LinkedIn | GitHub | IEEE Collabratec | ORCiD
Delhi, Delhi - 110052, India
Motivated and dedicated computer science student seeking an internship opportunity to apply
and expand technical skills in software development, contribute to real-world projects, and gain valuable industry experience in a dynamic and innovative environment.
Developed the MediScan system, an AI-powered solution for accurate eye disease detection, achieving improved diagnostic accuracy and early detection capabilities.
Implemented advanced preprocessing and image segmentation techniques, enhancing model performance.
Created machine learning pipelines for feature extraction and model training, ensuring scalable deployment.
Applied statistical methods to analyze healthcare data, identifying patterns for improved diagnostic insights.
Chhatrapati Shahu Ji Maharaj University (formerly Kanpur University), UGC Tier-I Univ., NAAC Rank: A++ Kanpur, India
CGPA: 7.2/10 (2nd year)
Lancer’s Convent Senior Secondary School, Prashant Vihar, Rohini, Delhi 110085 Delhi, India
Percentage: 72%
Tools: Python, NLP (Transformer/BERT-based models), Docker, Kubernetes, Redis, PostgreSQL, JWT, AES Encryption [GitHub]
Designed an AI-powered mental health support system using transformer-based NLP for risk and intent detection.
Implemented multi-layered safety mechanisms combining rule-based logic and ML models for crisis risk classification.
Built secure data pipelines with encryption, authentication, and role-based access control to ensure user privacy and compliance.
Integrated real-time escalation workflows for high-risk scenarios, enabling safe and responsible AI-assisted interactions.
Project: Cloudburst Early Warning and Alarm System October 2025 Tools: Python, TensorFlow, PyTorch, MQTT, InfluxDB, Raspberry Pi, LoRa, Streamlit [GitHub]
Designed a distributed IoT-based early warning system for cloudburst prediction in hilly and remote regions.
Implemented AI/ML-based anomaly detection using ConvLSTM models on multi-sensor weather data streams.
Built real-time data ingestion and alert pipelines using MQTT and InfluxDB with multi-channel notifications.
Enabled off-grid operation through hybrid power management and redundant communication for high reliability.
Project: Real-Time Object Detection Using YOLO November 2024 Tools: Python, OpenCV, YOLOv3, NumPy [GitHub]
Built a real-time object detection system using YOLOv3 for live webcam/video streams.
Integrated YOLOv3 with OpenCV to detect multiple object classes with >90 percent confidence.
Implemented bounding boxes, class labels (COCO dataset), and non-maximum suppression (NMS) for accurate and clear detections.
Project: AI-Based Face Detection and Recognition System October 2024 Tools: Python, OpenCV, Haar Cascade, Imgbeddings, PostgreSQL, NumPy, PIL, Scikit-learn [GitHub]
Built a face detection and recognition system using Haar Cascade and embedding-based similarity matching.
Implemented face cropping, preprocessing, and embedding extraction using Imgbeddings.
Stored and queried face embeddings in PostgreSQL with similarity search for real-time face identification.
organized by Birla Institute of Technology, Mesra-Ranchi-Noida Campus [Certificate]
Gained foundational understanding of blockchain architecture, cryptographic principles, and consensus mechanisms..
Explored real-world blockchain applications in finance, supply chain, and healthcare.
Learned basics of smart contracts and hands-on implementation using the Ethereum platform.
organized by University Institute of Engineering & Technology, Chhatrapati Shahu Ji Maharaj University [Certificate]
Built foundational understanding of blockchain technology, decentralized systems, and consensus mechanisms.
Studied blockchain networks including Bitcoin and Ethereum, along with smart contract concepts.
Analyzed real-world use cases of blockchain across finance, healthcare, and supply chain domains.
One week workshop organized by Department of Electrical Engineering, NIT Jamshedpur [Certificate]
Gained hands-on experience with LaTeX, Beamer, and Overleaf for structured technical and research documentation.
Learned academic paper writing standards, reference management using Mendeley, and basics of Intellectual Property Rights (IPR).
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ADDITIONAL INFORMATION