Nishchal Kumar.
Full Stack Developer & AI Enthusiast — building digital experiences that matter, one line of code at a time.
A developer who loves to build
I'm a B.Tech Computer Science studentat Manav Rachna International Institute of Research and Studies, based in New Delhi, India. I'm passionate about building smart, impactful products at the intersection of AI, automation, and software engineering.
From crafting AI-powered recommendation engines to winning hackathons, I thrive when solving complex problems with elegant code. I have hands-on experience across the full stack — from Python and React to cloud infrastructure on Google Cloud & AWS.
When I'm not coding, you'll find me at tech workshops, competing in chess, or exploring new cultures through travel.
Nishchal Kumar
Full Stack Developer · AI Builder
What I work with
Where I've worked
Project Associate
- Engineered IoT-driven healthcare solutions for real-time patient data acquisition and predictive analytics.
- Integrated sensor data pipelines and intelligent decision-support systems for scalable healthcare monitoring.
Python Programming Intern
- Gained hands-on exposure to core machine learning principles and algorithms.
- Explored introductory data science tools and end-to-end workflows.
C++ Programming Intern
- Gained deep expertise in C++ programming through structured mentorship.
- Developed console-based applications addressing real-world challenges.
Things I've built
Neel Drishti – Oceanographic Visualization Platform
Built an AI-powered oceanographic research platform processing 6.4M+ Argo float observations through scalable ETL pipelines. Integrated NLP-driven querying and interactive visualizations for natural language analysis of marine datasets.
Vayutel – AI-Powered AQI Prediction Wearable
IoT-enabled wearable for real-time Air Quality Index forecasting using environmental sensor data and time-series models. Implemented ARIMA + LSTM using TensorFlow; integrated a conversational AI assistant for AQI trend interpretation and recommendations.
StuPred – ML-Based Student Performance Prediction
Logistic Regression system to identify at-risk students using attendance, assessment scores, and engagement metrics. Feature engineering + model evaluation achieving 88% classification accuracy on validation data.
AI-Powered Book Recommendation System
Built an intelligent book recommendation engine using a hybrid approach combining content-based filtering, collaborative filtering, and OpenAI models. Delivers personalized, context-aware suggestions for an enhanced reading experience.
House Price Estimation Model
Developed a robust Linear Regression model to forecast house prices with precision, leveraging key factors like size and location. Delivered data-driven valuations that enhanced decision-making in real estate scenarios.
Research & publications
ReadSetu: A Scalable Genre-Aware Hybrid Recommendation Framework Integrating Textual Semantics and User Behavior Modeling
Presented & published at ICASS 2026 · IEEE Conference Proceedings, Manav Rachna University.
Academic background
Credentials & learning
Recognition & milestones
Let's work
together.
Have a project, an idea, or just want to say hi? I'm always open to interesting conversations and new opportunities.