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☁ M.Tech AI & Data Science (8.9 CGPA) · Alliance University

Hi, I'm Nandana ♡

AI/ML Researcher & Deep Learning Engineer

I build intelligent systems across computer vision, multimodal learning, explainable AI, and generative AI — from research prototypes and scientific data pipelines to deployable AI applications.

🎯

Currently exploring AI/ML engineering and applied research opportunities involving deep learning, computer vision, GenAI, and intelligent systems.

Research Interests
Explainable AI Multimodal Deep Learning Computer Vision Remote Sensing Generative AI Knowledge-Augmented RAG
LinkedIn ↗ GitHub ↗ Google Scholar ↗ Email ↗
Illustrated portrait of Nandana
♡
Bangalore · Kochi
Explainable AI · Multimodal Learning
02
Research Works — 01 Published · 01 Accepted/In Press
09+
AI/ML & Systems Projects
8.9
M.Tech CGPA (Alliance Univ) · B.Tech 7.18
07
Professional Certifications
✧

About me ✿

01

Academic & Research Journey

Currently pursuing an M.Tech in Artificial Intelligence & Data Science at Alliance University, building on a B.Tech in Computer Science and Engineering with a specialization in Artificial Intelligence. My work spans explainable deep learning, computer vision, remote sensing, knowledge-augmented generation, and applied machine learning research.

♡ Explainable AI & Applied Research
02

Technical Depth & AI Systems

I work with PyTorch, TensorFlow, Scikit-learn, OpenCV, YOLO, RT-DETR, LangChain, LangGraph, FAISS, spaCy, and Python. I also build backend systems using Java, Spring Boot, FastAPI, Flask, and REST APIs, with experience connecting machine-learning pipelines to interactive applications.

♡ Deep Learning & Resilient Systems
03

Research → Engineering

My projects focus on turning research ideas into reproducible systems: designing data pipelines, implementing and evaluating models, performing ablation and comparative studies, and exposing the resulting systems through practical interfaces and APIs.

♡ Reproducibility & Deployment
⚙️ Engineering & Systems Core

Production ML pipelines, backend services, and scalable deployment engineering:

Python PyTorch TensorFlow Java FastAPI Spring Boot REST APIs SQL Git
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Research & Publications ✧

Peer-reviewed publications in Explainable AI, computer vision, and scientific deep learning

Google Scholar Profile ↗
✓ PUBLISHED
IEEE Xplore ICTEST 2025

Explainable AI for Disease Detection and Body Constitution Analysis Using Tongue Imaging

Problem: Subjective clinician variability and lack of standardized visual diagnostics in non-invasive health screening.
Method: Deep CNN feature extraction coupled with Explainable AI (Grad-CAM & feature attribution) mapped to Traditional Chinese Medicine (TCM) criteria.
Contribution: Clinician-interpretable visual biomarker mapping (color, coating thickness, texture) with high diagnostic concordance.
⏳ ACCEPTED / IN PRESS
ICTEST 2026 Remote Sensing

Physics-Informed Explainable Multimodal Deep Learning for Satellite-Based Air Pollution Source Attribution in Delhi NCR

Problem: Disentangling regional aerosol pollution sources (industrial, vehicular, agricultural) in severe atmospheric conditions.
Method: Multimodal fusion of multispectral satellite remote sensing, ground sensor telemetry, and Physics-Informed Neural Networks (PINNs).
Contribution: Physics-constrained source attribution preserving aerosol transport physics with actionable spatial interpretability.
Google Scholar Profile ↗ Accepted (ICTEST 2026 Proceedings)
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Projects ☼

🔭 Research & Deep Learning
01
Planetary Computer Vision & Remote Sensing

Lunar Boulder Detection from Chandrayaan-2 OHRC Imagery

Computer-vision pipeline for Chandrayaan-2 OHRC imagery, covering PDS4 preprocessing, 640×640 tiling, dataset preparation, and boulder detection using multiple object-detection models.

📊 Selected Results: 640×640 OHRC tiling · 4 detector architectures · Regional inference analysis
YOLO RT-DETR PyTorch Remote Sensing
02
Urban AI & Traffic Forecasting

Smart City Traffic Prediction & Decision Support

End-to-end traffic prediction system using live traffic data, temporal and weather features, sliding-window sequences, LSTM forecasting, and an interactive web interface.

📊 Selected Results: Live API ingest · Sliding-window LSTM · Interactive web dashboard
LSTM FastAPI React TomTom API
03
Knowledge Graph & Local RAG

ISRO Knowledge Graph RAG

Knowledge Graph RAG system for querying ISRO mission documentation using entity extraction, graph retrieval, FAISS vector search, and local LLM inference.

📊 Selected Results: 4,557 chunks · 31K+ graph nodes · 95K+ edges
Graph RAG FAISS spaCy Mistral-7B
04
Environmental ML & Optimization

Air Quality Prediction & Feature Optimization

Air-quality prediction pipeline using Ant Colony Optimization for feature selection, with convergence analysis and interpretable machine-learning outputs for AQI forecasting.

📊 Selected Results: Ant Colony Optimization · Multi-objective convergence · Feature subset interpretability
ACO Feature Selection ML AQI
05
Customer Analytics & Fuzzy FCA

RFMS-Fuzzy FCA Customer Segmentation

Customer-segmentation framework combining RFMS metrics with Fuzzy Formal Concept Analysis, stability analysis, clustering, benchmarking, and cross-domain validation.

📊 Selected Results: 93,357 customers · 45 F* levels · Cross-domain validation
Fuzzy FCA RFMS Clustering Python
⚡ Generative AI & Applications
06
Generative AI & Educational Assistant

AI Study Buddy

Streamlit-based educational assistant using Google Gemini to explain concepts, generate examples, and create interactive quizzes from user-provided topics.

📊 Selected Results: Google Gemini integration · Dynamic quiz engine · Interactive Streamlit UI
Gemini API Streamlit GenAI Python
07
Multi-Agent Generative AI

AI Resume Agent

Multi-agent LangGraph workflow that parses job descriptions, evaluates resumes, identifies skill gaps, and generates tailored resume content.

📊 Selected Results: Multi-agent LangGraph orchestration · Automated JD parsing · Skill gap scoring
LangGraph LLMs NLP Multi-Agent
08
Speech-to-Text & NLP

Video Meeting Summarizer

Automated speech-to-text and NLP pipeline that converts recorded lectures and meetings into concise summaries and key points.

📊 Selected Results: Speech-to-text pipeline · Extractive NLP summarization · Action item generation
Speech Recognition NLP NLTK Python
🌐 Interactive Systems
09
Interactive 3D Web Graphics

Interactive 3D Virtual Museum

Browser-based 3D educational environment built with Three.js and WebGL, featuring interactive scenes, lighting, geometry, and camera controls.

📊 Selected Results: WebGL & Three.js rendering · 3D spatial navigation · Interactive lighting & geometry
Three.js WebGL JavaScript 3D
All repositories on GitHub →

Experience

Backend Servicing Intern

June 2024 – July 2024
Covacsis Technologies · Remote
♡ Engineered backend service lifecycle components using Java, Apache Pinot, and Spring Boot framework.
♡ Implemented dynamic service registration, heartbeat scheduling mechanisms, and deregistration ensuring high microservice availability.
♡ Built secure RESTful endpoints with basic authentication and resilient heartbeat monitoring.
Java Spring Boot Apache Pinot REST APIs

Leadership

Student Mentor 2024 – 2025
CSI SB ASIET
Mentored junior engineering undergraduates in core computer science, algorithm design, and AI fundamentals.
Social Media Team Lead 2023 – 2024
CSI SB ASIET
Led the chapter's social media outreach strategy, digital branding, technical event promotions, and community engagement.
Editor 2022 – 2024
Saakshin
Supervised editorial reviews, technical writing verification, and publication workflows for student magazine releases.

Toolbox ✧

LLM & GenAI
LangChain LangGraph RAG Knowledge Graph RAG FAISS Prompt Engineering
Computer Vision
OpenCV YOLO RT-DETR CNNs Object Detection Image Classification
ML / DL & Explainable AI
PyTorch TensorFlow Scikit-Learn SHAP Grad-CAM LIME
Data & Analytics
Pandas NumPy SQL Power BI Matplotlib spaCy
Languages & Tools
Python Java C Git & GitHub Jupyter Colab
Backend & Frameworks
Spring Boot RESTful APIs Streamlit Flask Apache Pinot

Certifications ♡

Industry-verified credentials in AI systems, Java engineering, and data science

Oracle
Oracle Certified Java Foundations Associate
✓ Verified Credential
IBM
Artificial Intelligence Foundation Digital Credential
Verify on Credly ↗
KNIME
Data Science Professional Certificate
Verify Certificate ↗
GitHub
Career Essentials in GitHub Certificate
Verify Certificate ↗
Additional Credentials:
Microsoft & LinkedIn Generative AI · Verify ↗ • LinkedIn Java OOP · Verify ↗ • Infosys AI Foundation · View Image ↗

Education ☁

Postgraduate 2025 – 2027
M.Tech in Artificial Intelligence & Data Science
Alliance University · Bangalore
8.9 CGPA (Current)
Key Coursework
Applied Probability & Statistics · High Performance Computing for Big Data · Predictive Analysis · Cognitive AI · Human Machine Interaction · Virtual Reality
Current: Decision Support Systems · Business Intelligence & Analytics
Undergraduate 2021 – 2025
B.Tech in Computer Science and Engineering (AI)
Adi Shankara Institute of Engineering & Technology (ASIET) · Kalady
7.18 CGPA
Key Coursework
Artificial Intelligence · Machine Learning · Deep Learning · NLP · Robotics & Intelligent Systems · Soft Computing · Data Structures & Algorithms
Prior: ISC Class XII — 87.2% · Computer Science: 93%
St. Aloysius Convent I.S.C. School
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Let's make something lovely.

AI/ML research, Explainable AI, computer vision, engineering roles — or just hello. I'd love to hear from you.

Bangalore / Kochi, India · English (fluent), Malayalam (native)

LinkedIn GitHub Resume ↓
© 2026 Nandana Narayan Das Made with ♡ and a lot of tea