Divyansh Pandey — ML Engineer · Researcher

ML Engineer · Researcher · Builder

Turning research into real systems — acrossML.

Researcher, ML Engineer, and Data Scientist with 2 years building E2E production-grade systems — spanning ML, NLP, CV, and AI Agents across Finance, Healthcare, and Cybersecurity.

A polymath at heart — I bring pattern recognition from 3D puzzles and investigative thinking into my engineering work. Currently deep into Neurosymbolic AI and LLM steering.

Reach out via email or LinkedIn — always open to interesting problems.

View Projects

GS K P

AI Research Intern

· Internship

Indian AI Research Organization (IAIRO)

Mar 2026 – Present · Hybrid

Machine Learning Researcher

· Full-time

Manipal University Jaipur

Jan 2026 – Present · Jaipur, Rajasthan · On-site

Conducting applied ML research in computer vision and deep learning using PyTorch, NumPy, and medical imaging datasets.
Developing and evaluating model architectures for classification and segmentation tasks on real-world data.

AI/ML Engineer Intern

· Internship

VIGIL Labs, IIT Hyderabad

Apr 2025 – Jul 2025 · Hyderabad, Telangana · Remote

Engineered a decentralized Federated Learning model for medical image classification & segmentation, surpassing baseline test accuracy by 20% on complex non-IID real-world data.
Accelerated training convergence by optimizing communication protocols, reducing global round time by 45% and utilizing 55% fewer resources than baselines.
Orchestrated secure ML workflows to address data heterogeneity and strict distributed data privacy requirements, translating project goals into a scalable, production-aligned AI solution.

Publication

View research

SN Computer Science · Vol. 7, No. 360 (2026)· 2026

DEXNet: An Ensemble Model Integrating DenseNet, EfficientNetB3, and XGBoost for Histopathological Lung and Colon Cancer Classification

Ensemble architecture combining DenseNet and EfficientNetB3 for hierarchical feature extraction with XGBoost classification, augmented by Class-Selective Image Preprocessing (CSIP), Grad-CAM interpretability, and a HIPAA/GDPR-compliant AWS deployment pipeline with federated learning provisions for multi-institutional privacy-preserving inference.

lung cancer detectionhistopathologydeep learningensemble learningCNNEfficientNetB3XGBoost

Projects

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RAG · NLP

RAGineer

Production-ready local RAG Text-to-SQL chatbot that converts natural language into safe PostgreSQL queries with 84% SQL accuracy.

pythonpostgresqlollamachromadb+1

0% SQL accuracy, 0% end-to-end, ~0.0s latency
SQL injection prevention, rate limiting, 0 tests at 0% coverage

MLOps · Production

Real-Time Fraud Detection

High-performance FastAPI microservice achieving 90% latency reduction (50ms → 5.4ms) with full production observability.

pythonfastapixgboostdocker+1

False Positive precision from 0% → 0%, 0% Recall maintained
MLflow experiment tracking, class-weighted XGBoost

RAG · GenAI

GetAnime

RAG-powered semantic anime recommendation engine with sub-second latency and 95% relevance accuracy across 12,000+ entries.

langchaingroqchromadbdocker+1

Sub-second query latency with Groq LLM + ChromaDB
0.0% uptime on GCP with Kubernetes + Grafana monitoring

Healthcare · DL

Mental Health Predictor

AI-driven tool predicting depression among students using TensorFlow, trained on 27,000 records with LIME interpretability.

tensorflowstreamlitlimegemini-ai

Neural network on 0 student records
LIME interpretability for transparent predictions

Data Science

Data Analysis Toolkit

Interactive toolkit for EDA, feature engineering, model building, and visualization with Plotly and scikit-learn.

pythonstreamlitplotlyscikit-learn

End-to-end: cleaning → feature engineering → model training
Interactive Plotly visualizations

NLP · MLOps

E2E Text Summarization

Production-ready NLP summarization pipeline with CI/CD, Docker, and AWS EC2/ECR deployment.

transformersfastapidockeraws+1

CI/CD with GitHub Actions, Dockerized deployment
AWS EC0 hosting + ECR image registry

Healthcare · ML

Heart Disease Prediction

ML-based heart disease risk assessment comparing Logistic Regression, Random Forest, Gradient Boosting, and SVM.

pythonscikit-learnstreamlitmatplotlib

0.0% test accuracy with Logistic Regression
Interactive Streamlit web application

Web Dev

Note Taking App

Full-stack Django note management app with authentication, rich text editing, search, and collaboration tools.

djangosqlbootstrapjavascript

User authentication and note CRUD
Search, filtering, and file uploads

Currently exploring

Languages

PythonSQLJavaCJavaScriptMATLAB

ML / DL

PyTorchTensorFlowKerasscikit-learnXGBoostComputer VisionNLPFederated LearningGenerative AICNNGANReinforcement LearningTime Series

LLMs & Agents

LangChainLangGraphLangServeLangSmithRAG PipelinesLLM Fine-tuningOllamaGroqHuggingFace TransformersGPTBERTChainlit

MLOps & Cloud

MLflowDVCDAGsHubBentoMLAirflowDockerKubernetesAWS (S3, EC2, IAM, RDS)GCPAzureCI/CDGitHub ActionsPrometheusGrafana

Databases

PostgreSQLMySQLMongoDBSQLiteChromaDBFAISSAstraDB

Frameworks & Tools

FastAPIFlaskDjangoStreamlitPandasNumPyMatplotlibSeabornPlotlyTableauPower BISeleniumGitJira

Writing

All writing

Implementing a GCN (Graph Convolutional Network) from Scratch

Read for free here.

Mechanistic Interpretability: From Memorization to Steering in GPT-2

This project demonstrates how to artificially induce memorization in a small LLM like GPT-2 Small, localize the memory circuits using…

Getting Started (in depth )with Local LLMs-and how to set them up

You can read the blog for free here.

Education

Manipal University Jaipur

B.Tech (Hons.) Computer Science Engineering — Major in AI & ML

Sept 2022 – June 2026 · CGPA: 9.07

AI, Machine Learning, Deep Learning, Computer Vision, NLP

3× Dean's List — Excellence in Academics (Highest GPA) & Off-campus Achievements
Springer Nature Published Author — First Author at ICDEC 2024
Runner-Up — Xiaomi Ode2Code 3.0 national coding competition

Honors & Awards

Dean's List of All Round Excellence

· April 2025

Manipal University Jaipur

In recognition of off-campus achievements and overall excellence.

Dean's List Excellence in Academics (Highest GPA)

· April 2024

Manipal University Jaipur

Awarded for securing the highest Grade Point Average in Computer Science and Engineering (AIML).

Runner Up — Xiaomi Ode2Code 3.0

· 2023

Xiaomi India

National-level coding competition organized by Xiaomi India.

Positions of Responsibility & Volunteering

Member · Open Source Contributor

· Part-time

The Red Wood Lab

Jan 2025 – May 2025 · Jaipur, Rajasthan · Remote

Contributed a multivariate Ridge regression model for electrical energy prediction on Micro Gas Turbine data (achieving R² = 0.9785 on test set).
Worked across ML, NLP, and data science projects within the lab's open research ecosystem.

Open Source Contributor

· Part-time

Social Winter of Code (SWOC)

Jan 2025 – Mar 2025 · Remote

Contributed to open-source projects spanning LLMs, Computer Vision, and NLP as part of the SWOC program.

Open Source Contributor

· Part-time

Hacktoberfest

Oct 2024 · Remote

Contributed ML and data science notebooks to open-source repositories during Hacktoberfest 2024. Earned Level 1 badge.

Software Engineering Virtual Simulation

· Trainee

JPMorgan Chase & Co. (via Forage)

Jan 2024 · Remote

Completed a simulation focused on engineering tasks in JPMorgan Chase's credit-card rewards department.
Created a new class to get an existing system up and running; authored a comprehensive unit test suite in Java.

Turning research into real systems — acrossML.

Experience

AI Research Intern

Machine Learning Researcher

AI/ML Engineer Intern

Publication

DEXNet: An Ensemble Model Integrating DenseNet, EfficientNetB3, and XGBoost for Histopathological Lung and Colon Cancer Classification

Projects

RAGineer

Real-Time Fraud Detection

GetAnime

Mental Health Predictor

Data Analysis Toolkit

E2E Text Summarization

Heart Disease Prediction

Note Taking App

Currently exploring

Skills&Stack

Writing

Implementing a GCN (Graph Convolutional Network) from Scratch

Mechanistic Interpretability: From Memorization to Steering in GPT-2

Getting Started (in depth )with Local LLMs-and how to set them up

Education

Manipal University Jaipur

Honors & Awards

Dean's List of All Round Excellence

Dean's List Excellence in Academics (Highest GPA)

Runner Up — Xiaomi Ode2Code 3.0

Positions of Responsibility & Volunteering

Member · Open Source Contributor

Open Source Contributor

Open Source Contributor

Software Engineering Virtual Simulation

Projects

Research

Work with me

Writing

Implementing a GCN (Graph Convolutional Network) from Scratch

Mechanistic Interpretability: From Memorization to Steering in GPT-2

Getting Started (in depth )with Local LLMs-and how to set them up