Research Engineer
Specialized in applied research spanning Blockchain, Privacy-Preserving ML, Zero-Knowledge Proofs, Trusted Execution Environments, and Decentralized infrastructure.
Education & Affiliations
About Me
Pranav Shinde is a highly skilled security professional currently working as a Research Engineer at TOP SARV Consultancy Ltd in London. He holds a Master's degree in Blockchain and Financial Technologies from the University of East London. His research and engineering experience includes the design and implementation of efficient methodologies for transforming machine learning models into zero-knowledge (ZK) circuits, as well as the development of decentralized applications for supply chain, healthcare, and e-commerce domains on Ethereum and Hyperledger Fabric Network. He has also conducted applied research and development in Trusted Execution Environments (TEEs), with a particular focus on remote attestation mechanisms for Intel SGX and TDX. This combination of applied cryptographic research and systems-level development positions him as a valuable contributor to the advancing field of confidential and verifiable computing.
I am open to Research Analyst, Research Engineer, and Technology Consulting roles. I enjoy discussing topics related to AI and Blockchain, and I love meeting new people. Feel free to reach out for a virtual coffee chat!
Research Interest: Small language models, Privacy-preserving ML, Trusted execution environments, Blockchain, Zero-knowledge Proofs, Zero-trust infrastructure.
Featured Work
Notable Projects
Confidential Multi-Agent System
A production-ready system combining Coral Protocol and Phala Network to create a confidential, verifiable, multi-agent architecture for processing sensitive documents. Features TEE-secured computation, cryptographic attestation, and privacy-preserving agent coordination for handling confidential PDFs without exposing data to any single party.
TEE Solver Marketplace
Confidential computing PoC where solvers run inside Intel SGX enclaves. Logic and inputs remain private while results are cryptographically attested for DeFi applications.
Telecom Multi-Agent Systems
Customer Validation and Screening is an automated, agent-based workflow built on Open Gateway APIs using the Coral Protocol. It enables enterprises to verify user identity, device integrity, location, SIM status, and tenure in real time.
Research Engineer (TOP SARV Consultancy Ltd)
June 2025 – Present
- Designed and implemented network fault-detection multi-agent systems using Open Gateway APIs, enabling automated diagnosis and coordination across agents.
- Developed architecture diagrams and design documents for single-agent/multi-agent system use cases.
- Contributed to Confidential AI research, evaluating the maturity and adoption levels of Trusted Execution Environments (TEEs) and Zero-Knowledge Proofs (ZKPs) that can be applied to secure multi-agent systems.
- Building multi-agent systems and researching confidential AI with TEE and ZKP technologies.
- Assessed the scope of partnerships with confidential computing platforms, aligning their capabilities with Coral Protocol's.
Project Intern (IIT Dhanbad)
Nov 2023 – Jul 2024 · 9 mos
- Designed a redactable blockchain for digital twins in the healthcare sector, implementing secure data storage, data-sharing protocols, and IoT device authentication using Zero-Knowledge Proofs.
- Developed a privacy-preserving anomaly detection system using KNN and Homomorphic Encryption (HE), achieving 95.35% accuracy.
- Conducted literature reviews to align cryptographic methods with healthcare use cases and contributed to high-impact publications through Ethereum-based simulations on Azure Cloud.
- Delivered technical presentations to interdisciplinary teams, demonstrating scalability and efficiency of the proposed framework.
Project Intern (IIM Bangalore)
Apr 2023 – Jul 2023 · 4 mos
- Conducted quantitative analysis on cryptocurrency datasets, identifying wallet patterns, exchange platforms, and HEX address activities.
- Designed heuristic algorithms to cluster 75,000+ HEX wallets and decode 53,000 Bitcoin and Ethereum addresses using API calls for affiliation prediction.
- Analyzed transaction volumes and correlations across centralized and decentralized exchanges to identify high-volume nodes and potential anomalies.
- Developed heuristic-based correlation analysis, visualizations, and clustering metrics to enhance predictive analytics for wallet identification.
Undergraduate Researcher (RIT)
Jan 2023 – Jul 2023 · 7 mos
- Conducted research on two projects, deploying a permissioned blockchain infrastructure for supply chain and e-commerce (ONDC) use cases.
- Built a full-stack decentralized application including smart contracts, APIs, frontend development, and blockchain security analysis.
- Evaluated blockchain network performance using the Hyperledger Caliper benchmarking tool.
Project Intern (NRiT TBI)
Feb 2022 – Dec 2022 · 11 mos
- Worked on a sponsored project titled "9th Sense web portal for MSMEs and NGOs using AI, ML & Data Science."
- Built an automation system enabling MSMEs and NGOs to generate single-page websites.
- Designed ML-based recommendation algorithms and a real-time chat application for customer interaction.
Frontend Developer (5TechG Lab LLP)
Dec 2021 – Feb 2022 · 3 mos
- Designed and implemented responsive UI for a production-level e-commerce platform (DB Agro).
- Optimized UI/UX workflows and ensured cross-browser compatibility.
- Collaborated with backend teams using Agile practices and Git-based version control.
Research
Publications
Peer-reviewed research advancing the frontiers of blockchain security, privacy-preserving machine learning, and cryptographic systems for decentralized infrastructure.
02. Healthcare Digital Twin
2024 / IIT
Blockchain • IoT • Anomaly Detection
95.35% Accuracy
04. ONDC E-Commerce
2023 / RIT
Hyperledger Fabric • E-Commerce • ONDC
Performance Tested
05. Agriculture Supply Chain
2023 / SPRINGER
Blockchain • Traceability • Agriculture
Published: Springer
Writing & Insights
Blogs & Articles
Technical deep-dives and thought leadership on AI, blockchain, and cryptography.
zkSNARKs Explained: A First-Principles Walkthrough
Deep dive into zero-knowledge proofs from mathematical foundations to practical implementations.
Read ArticleSmall Language Models: A Better Way to Agentic AI
Exploring how smaller, specialized language models enable more efficient agentic systems.
Read ArticleONDC: Blockchain and ZKPs for Secure E-Commerce
Building India's open network for digital commerce with privacy-preserving technologies.
Read ArticleRevolutionizing Electoral Bonds with Blockchain
Transparency, privacy, and accountability in India's electoral system using ZKPs.
Read ArticleGuiding Principle
"Strive for perfection in everything you do. Take the best that exists and make it better. When it does not exist, design it."
— Sir Henry Royce