NS

AI/ML

AI products, ML systems, and product-minded engineering

Nalin Sharma

Motivated Computer Science student passionate about AI products, software engineering, and user-focused problem solving. I build applied AI systems across NLP, computer vision, healthcare AI, secure data pipelines, and full-stack product workflows.

AI projects shipped
4+
tools and technologies
30+
certifications
17
accepted publication
1

Current focus

Applied AI products with strong foundations in transformer NLP, medical image analysis, secure pipelines, and edge-ready intelligent systems.

About

AI engineer mindset with product instincts.

Nalin is a B.Tech CSE-AI student focused on building scalable, secure, and useful AI systems that move beyond demos.

Futuristic profile placeholder for Nalin Sharma

Nalin Sharma

AI/ML Engineer & Computer Science Student

Delhi

B.Tech CSE-AI student building applied AI systems across NLP, computer vision, healthcare AI, IoT data streams, and secure product engineering. Nalin focuses on turning models into reliable systems with clean pipelines, strong product thinking, and real-world impact. His work spans mental health NLP, cloudburst early-warning systems, YOLO-based real-time detection, face recognition, and healthcare image analysis through the Infosys Springboard MediScan internship.

4+

AI projects shipped

30+

tools and technologies

17

certifications

1

accepted publication

Applied AI Products

Building user-focused systems where NLP, computer vision, and product thinking meet reliable software engineering.

Research Engineering

Data preprocessing, feature engineering, model validation, and real-time inference workflows for AI research ideas.

Scalable Systems

Docker, Kubernetes, secure data pipelines, databases, monitoring, and cloud basics for production-aware AI apps.

Skills

A practical AI/ML toolkit for building real systems.

The stack combines model development, secure backend thinking, data pipelines, monitoring basics, and production-aware deployment.

Category

Programming

Python92%
C++78%
SQL82%
Bash62%

Category

AI/ML

TensorFlow82%
PyTorch78%
Scikit-learn84%
Hugging Face79%
Transformers82%
NLP84%
Computer Vision86%

Category

Cloud & DevOps

Docker82%
Kubernetes73%
AWS Basics66%
GCP63%
Grafana62%
Prometheus60%

Category

Databases

PostgreSQL84%
MongoDB72%
MySQL76%
InfluxDB70%

Category

Web & Tools

Git82%
GitHub84%
Selenium72%
Scrapy70%

Category

AI Specializations

LLM Engineering78%
Prompt Engineering82%
Risk Detection79%
Image Segmentation80%
Face Recognition82%
YOLO Object Detection84%

Experience

Healthcare AI experience with production-aware pipelines.

A focused internship project combining medical image analysis, preprocessing, segmentation, feature extraction, and deployment-oriented ML workflows.

Infosys Springboard Internship 5.0

AI/ML Intern

MediScan: AI-Powered Medical Image Analysis for Disease Diagnosis

October 25 - December 31, 2024India
Certificate
  • Developed an AI-powered eye disease detection workflow for early diagnostic support.
  • Implemented preprocessing and image segmentation techniques to improve model performance.
  • Created feature extraction and model training pipelines with scalable deployment in mind.
  • Applied statistical analysis to healthcare data for stronger diagnostic insights.

Healthcare AI

Image segmentation

ML pipelines

Early detection

Python
Computer Vision
Segmentation
Healthcare Data
ML Pipelines

Projects

Applied AI systems with product-shaped architecture.

Each project is framed around the problem, the system design, and the engineering decisions behind it.

AetherMind visual system card
Featured
NLP

AetherMind

AI-powered mental health support system using transformer-based NLP for intent and risk detection.

Problem solved

Mental health support products need fast intent detection, crisis classification, and secure handling of sensitive conversations.

Core features

  • Transformer/BERT-based NLP
  • Intent detection and crisis risk classification
  • JWT authentication with role-based access control
  • AES encrypted secure data pipelines

Architecture

  • Containerized Python services
  • PostgreSQL persistence with Redis-ready session workflows
  • Kubernetes-oriented deployment structure
Python
NLP
Docker
Kubernetes
PostgreSQL
JWT
AES
Cloudburst Early Warning System visual system card
Featured
IoT

Cloudburst Early Warning System

Distributed AI + IoT disaster prediction system for cloudburst risk monitoring.

Problem solved

Remote hilly regions need reliable early warning systems that can process weather anomalies even with unstable power or connectivity.

Core features

  • ConvLSTM anomaly detection on multi-sensor weather streams
  • MQTT ingestion with InfluxDB time-series storage
  • Streamlit monitoring interface and multi-channel alerts
  • Hybrid power management with redundant communication

Architecture

  • Raspberry Pi edge nodes
  • LoRa communication path for remote reliability
  • Off-grid-first sensor processing pipeline
TensorFlow
PyTorch
MQTT
InfluxDB
Raspberry Pi
LoRa
Streamlit
YOLO Real-Time Object Detection visual system card
Computer Vision

YOLO Real-Time Object Detection

Real-time object detection system using YOLOv3 for webcam and video streams.

Problem solved

Live video analytics need fast detections with clean boxes, accurate labels, and stable frame-by-frame inference.

Core features

  • YOLOv3 model integration with OpenCV
  • Live webcam and video-stream detection
  • COCO class labels and confidence filtering
  • Non-maximum suppression for cleaner detections

Architecture

  • OpenCV video capture loop
  • NumPy preprocessing path
  • Real-time inference with bounding-box post-processing
Python
OpenCV
YOLOv3
NumPy
NMS
Face Detection & Recognition System visual system card
Computer Vision

Face Detection & Recognition System

AI-based face detection and recognition system with embedding similarity matching.

Problem solved

Recognition systems need reliable face crops, consistent embeddings, and fast similarity search for real-time identity matching.

Core features

  • Haar Cascade-based face detection
  • Face cropping, preprocessing, and embedding extraction
  • Embedding similarity matching for identification
  • PostgreSQL storage for searchable face vectors

Architecture

  • OpenCV detection stage
  • Imgbeddings feature extraction
  • PostgreSQL-backed similarity lookup
Python
OpenCV
Haar Cascade
PostgreSQL
Scikit-learn
PIL

Research

Publication work in visual intelligence.

Research interest sits naturally beside Nalin's computer vision project work, with a focus on CNNs and machine visual understanding.

Nalin Sharma, 2026

Decoding Visual Intelligence in Machines: A Comprehensive Review of CNNs

Journal of Informatics and Mathematical Sciences

Accepted for publication

Convolutional Neural Networks
Computer Vision
Visual Intelligence
View forthcoming article page

Education

Academic foundation in Computer Science and AI.

Formal AI-focused engineering education supported by strong school performance and technical coursework.

B.Tech in Computer Science & Engineering - Artificial Intelligence

Chhatrapati Shahu Ji Maharaj University, formerly Kanpur University

UGC Tier-I University, NAAC Rank A++

2023 - 2027

Kanpur, India

CGPA 7.41/10, 5th semester / 3rd year

12th Standard - CBSE

Lancer's Convent Senior Secondary School

Prashant Vihar, Rohini, Delhi

2023

Delhi, India

72%

10th Standard - CBSE

Lancer's Convent Senior Secondary School

Prashant Vihar, Rohini, Delhi

2021

Delhi, India

87%

Achievements & Memberships

Signals of research momentum and technical community.

A compact view of accepted research, applied AI work, and IEEE memberships that support Nalin's engineering direction.

Accepted Research Publication

CNN review accepted for publication in the Journal of Informatics and Mathematical Sciences.

Infosys Springboard AI/ML Internship

Completed MediScan healthcare AI project focused on eye disease detection and image segmentation.

Applied AI Project Portfolio

Built AI systems across mental health NLP, disaster prediction, object detection, and face recognition.

Contact

Let's build something impactful together.

Open to internships, AI startup roles, research collaborations, and software engineering opportunities where applied AI can create measurable value.