Building the Future with AI & Data Science

Applied Data Scientist | Co-Founder at PinakashieldTech | Seeking PhD positions | Cybersecurity Innovator.

Bridging the gap between software architecture and advanced machine learning.

Deep Learning Distributed Systems Trustworthy AI Privacy Benchmarking LLMs Intrusion Detection Generative AI LLMs Federated Learning Cybersecurity

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Entrepreneurship & Vision

Co-Founder

PinakashieldTech OÜ | Estonia | 2025 - Present

Founded a cybersecurity and AI company aligned with EU digital sovereignty.

PinakashieldTech is a next-generation cybersecurity firm specializing in AI-driven, privacy-first solutions for IT-OT convergence. We bridge the gap between cloud security and critical infrastructure by deploying quantum-safe identity management and federated threat intelligence. Our core platform leverages generative AI for proactive vulnerability assessment and autonomous recovery, ensuring resilient operations against evolving quantum-era threats.

Key Focus: IT-OT Security, Federated Learning, Quantum-Safe Cryptography, and Autonomous Threat Defense.

Education

M.Sc. Applied Data Science & Analytics

SRH University Heidelberg, Germany

2023 - 2025

Focused on applied machine learning, statistical analysis, and data-driven decision making.

B.Tech. Computer Science and Engineering

Rajasthan Technical University, India

2008 - 2012

Master's Thesis

I-Driven Chemical Research: Benchmarking Large Language Models for Qualitative and Quantitative Analysis

Advisor: Dr. Niklas Wulkow | BASF SE, Ludwigshafen Germany | 2024 - 2025

Objective: Develop and evaluate LLM-based frameworks for automatic extraction and structuring of chemical experiment data from scientific literature.

Key Contributions:

Designed domain-specific evaluation metrics for assessing LLM performance in chemistry domain
Built Python pipelines integrating GPT-4, LangChain, and Azure OpenAI for structured data extraction
Evaluated multiple LLMs (GPT-4, Claude, Mistral) on chemical reaction data extraction tasks
Created benchmarking framework to compare performance across different model architectures

Technologies: Python, LLMs (GPT-4, Claude), LangChain, Azure OpenAI API, Prompt Engineering, Evaluation Metrics

Impact: Framework enables automation of chemical data extraction, reducing manual effort for BASF researchers and accelerating computational chemistry workflows.

Publications

Federated Learning-Driven Intrusion Detection for Cybersecurity in Smart Distribution Systems

IEEE GLOBECOM Workshops, 2024 | DOI

Proposed a federated transfer learning approach for smart grids to enable privacy-preserving DDoS/MITM detection.

A privacy-preserving framework for mitigating network attacks in distributed systems using FedGen-AI

International Journal of Pervasive Computing and Communications | DOI

This study aims to address critical security gaps in distributed systems by developing and evaluating a novel framework that integrates Federated Transfer Learning (FTL), Generative AI (GenAI) and Blockchain technology. Research specifically enhances the detection and mitigation of sophisticated network attacks, including distributed denial of service, man-in-the-middle and model poisoning.

Introduction to Number Theoretic Transform (NTT)

arXiv preprint, 2025 | arXiv

Explored NTT as an FFT-like tool over finite fields, analyzing cyclic convolution and fast NTT/INTT algorithms.

Revisit to the Bai-Galbraith signature scheme

arXiv preprint, 2025 | arXiv

Analysis of lattice-based signature schemes based on Learning with Errors (LWE), contrasting with Dilithium.

Professional Journey

Data Analyst (Master Thesis | Working Student)

BASF SE | Ludwigshafen, Germany

Nov 2024 - Sept 2025

Designed Python pipeline for extracting chemical data using GPT-4, LangChain, and Azure.
Created novel evaluation metrics for benchmarking LLMs in chemical research.

Research Intern (HPC)

Jülich Supercomputing Centre | Germany

Aug 2024 - Sept 2024

Benchmarked astrophysics N-body integrators on pre-exascale systems (JURECA).
Applied MPI, OpenMP, and CUDA for HPC optimization.

Research Associate

Hochschule Worms | Germany

Dec 2023 - Jun 2024

Built anomaly detection models using Bayesian Deep RL + CNNs.
Implemented real-time dashboards with TimescaleDB.

Product Delivery Lead

The Adecco Group | Lyon, France

Jun 2022 - Dec 2022

Owned end-to-end product lifecycle and coordinated cross-functional squads.
Managed Agile workflows using Azure DevOps/GitLab.

Technical Lead & Scrum Master

Infosys | Lyon, France

Sep 2019 - Jan 2022

Led 10 devs + 4 QA in transportation domain.
Enforced code quality and facilitated full Scrum ceremonies.

Technology Analyst

Infosys | Pune, India

May 2016 - Aug 2019

Full-stack microservices for new client apps; REST APIs with .NET Core, Angular 4/5, TypeScript; TDD with xUnit.
Additional retail track: Sitecore-based sites for a global wholesale group.

Software Engineer

HCL Technologies | Noida, India

Oct 2013 - May 2016

Built C#/WCF services for MSN browser markets; delivered a Windows mobile app (GSG) for marketer workflows.
Web development across Microsoft programs (SharePoint/Sitecore); HTML/CSS/JS/jQuery.

Web Developer

Micronic Infotech | Ajmer, India

Jul 2012 - Sep 2013

End-to-end PHP website builds and deployments (PHP/HTML/CSS/JS).