Nalin Sharma

Motivated Computer Science student with strong foundations in Python, Linux, cloud technologies, and system reliability, seeking an internship in Site Reliability Engineering and Information Security. Interested in cloud monitoring, automation, security infrastructure, and building reliable, scalable systems while contributing to real-world cybersecurity challenges.

Infosys Springboard 5.0

October – December 2024

• 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.

• Bachelor of Technology in Computer Science & Engineering - Artificial Intelligence (2023–2027)
  Chhatrapati Shahu Ji Maharaj University (formerly Kanpur University), UGC Tier-I Univ., NAAC Rank: A++ Kanpur, India
  CGPA: 7.41/10 (5th semester/ 3rd year)
• 12th Standard - Central Board of Secondary Education (CBSE) (2023)
  Lancer’s Convent Senior Secondary School, Prashant Vihar, Rohini, Delhi 110085
  Percentage: 72%
• 10th Standard - Central Board of Secondary Education (CBSE) (2021)
  Lancer’s Convent Senior Secondary School, Prashant Vihar, Rohini, Delhi 110085
  Percentage: 87%

AetherMind - February 2025

• Built AI-powered mental health support system using transformer-based NLP for intent and risk detection.
• Implemented rule-based and ML-driven safety mechanisms for crisis risk classification.
• Developed secure data pipelines with encryption, authentication, and role-based access control.

Cloudburst Early Warning System - October 2025

• 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.

YOLO Object Detection - November 2024

• 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.

AI-Based Face Detection and Recognition System - October 2024

• 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.

• Programming Languages: Python, C++, SQL, Bash (Basic)
• Operating Systems: Linux (Ubuntu/Debian),Windows, WSL
• Database Systems: PostgreSQL (local & cloud via Aiven), MongoDB, MySQL, InfluxDB
• Cloud SRE: AWS Basics, Google Cloud Platform, Docker, Kubernetes, Prometheus (Basic), Grafana (Basic), Monitoring Alerting, Observability, Incident Response, System Reliability
• Data Science & Machine Learning: Scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers (BERT, ViT), Pandas, NumPy, Imgbeddings
• IoT & Distributed Systems: Raspberry Pi, LoRa, MQTT, Edge Computing, Sensor Data Processing
• DevOps & Version Control: Git, GitHub
• Security Concepts: JWT Authentication, Role-Based Access Control (RBAC), Data Encryption (AES), Secure Data Pipelines
• Web Scraping & Automation: Scrapy, Selenium
• Research & Engineering: Data Preprocessing, Feature Engineering, Model Training and Validation, Anomaly Detection, Real-time Inference Pipelines, System Design
• Other Technologies: OpenCV (cv2), PIL (Python Imaging Library), Haar Cascade, Object Detection (YOLO), Image Segmentation, Face Detection Recognition, Medical Image Analysis, Transformer-based NLP, Text Preprocessing, Intent Classification, Risk Detection, Embedding-based Similarity Search

• Nalin Sharma, Decoding Visual Intelligence in Machines: A Comprehensive Review of CNNs, Journal of Informatics and Mathematical Sciences, accepted for publication. (2026)

• Blockchain Technology and Applications organized by Birla Institute of Technology, Mesra-Ranchi-Noida Campus during June 24 - 28, 2024
  • Gained foundational understanding of blockchain architecture, cryptographic principles, and consensusmechanisms.
  • Explored real-world blockchain applications in finance, supply chain, and healthcare.
  • Learned basics of smart contracts and hands-on implementation using the Ethereum platform.

• Blockchain and its Applications organized by University Institute of Engineering & Technology, Chhatrapati Shahu Ji Maharaj University during June 2 - 17, 2024
  • 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.

• Research Oriented TechnicalWriting (ROTW-2024) One week workshop organized by Department of Electrical Engineering, NIT Jamshedpur during November 18 - 22, 2024
  • 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).

• IEEE Society, Membership ID: 100576650 (2024 - 2026)
• IEEE Computer Society, Membership ID: 100576650 (2024 - 2026)

+91 9310827546

2005nalinsharma@gmail.com

Delhi, India