Hello, I'm

Deepesh Chaudhari

Technical Lead (Crypto Forensics) @ C3iHub, IIT Kanpur  ·  Founder & CEO @ BlockStash Intelligence

Founder of BlockStash Intelligence — a Blockchain security startup incubated at FIRST, IIT Kanpur. Developing cutting-edge solutions for cryptocurrency investigation & surveillance, collaborating with C3iHub, IIT Kanpur to detect & prevent illicit activities on blockchain networks. Empowering law enforcement & financial institutions to ensure digital financial integrity.

Worked closely with FIU-India, Intelligence Bureau, Income Tax, Enforcement Directorate, National Police Academy, West Bengal Police, Telangana State Police, I4C, CID and NIA.

Crypto Forensics Blockchain Security Cybercrime Investigation Intelligence Analysis Machine Learning IIT Kanpur MTech
Academic Work

Research & Publications

Towards Malicious Address Identification in Bitcoin

IEEE 2021 International Conference on Blockchain, Melbourne, Australia · pp. 425–432

The temporal aspect of blockchain transactions enables us to study address behavior and detect illicit activity. We study the Bitcoin transaction network using temporal features such as burst, attractiveness, and inter-event time, along with graph-based properties to validate ML-based approaches for malicious address detection. ...

After applying change-address clustering in Bitcoin, existing temporal features can be extracted and ML approaches applied. A comparative analysis shows address behavior in Ethereum and Bitcoin is similar with respect to in-degree, out-degree, and inter-event time. We identify 3 suspects showing malicious behavior across different temporal granularities not previously marked as malicious in Bitcoin.

Under guidance of Prof. Sandeep K. Shukla & Dr. Rachit Agarwal, IIT Kanpur.

Read more

D. Chaudhari, R. Agarwal, S.K. Shukla — IEEE Blockchain 2021, doi: 10.1109/Blockchain53845.2021.00066

Blockstash Intelligence: Real-time Crypto Crime Investigation and Forensics Tool

Research BlockStash Intelligence · C3iHub, IIT Kanpur

A comprehensive real-time platform for cryptocurrency crime investigation and forensics, enabling law enforcement agencies and financial institutions to trace, analyze, and investigate illicit blockchain transactions. Integrates graph analysis, entity clustering algorithms, and machine learning for actionable intelligence and visual transaction tracing.

Optimizing Bitcoin Address Clustering and Uncovering New Insights

Research C3iHub, IIT Kanpur

Introduces novel approaches to heuristic-based clustering, change address detection, and behavioral pattern analysis to improve Bitcoin address clustering techniques and entity identification — uncovering previously unknown insights about Bitcoin address ownership and transaction flows at scale.

Academic Work

Course Projects

  • Performed feature analysis on executables, compared different ML models to classify benign vs. malware. Best performance via Random Forest Model.
  • Technology: Python, Linux shell script  ·  Feb–Mar 2020
  • Implemented a load balancer to distribute traffic across multiple servers based on request type.
  • Technology: core PHP, HTML5, CSS, MySQL, Docker  ·  Aug–Sep 2019
  • Designed a highly available website (replicate ping-echo and active redundancy) hosted across multiple servers.
  • Technology: PHP, HTML, CSS, MySQL, Docker  ·  Sep–Oct 2019
  • Built a recommendation system returning top-5 items. Implemented Bonsai — Diverse and Shallow Trees for Extreme Multi-Label Classification with K-means clustering for label partition.
  • Technology: Python, C++  ·  Aug–Dec 2019
  • Trained a CNN model to identify each character in CAPTCHA images by extracting and classifying individual characters.
  • Technology: Python  ·  Oct–Nov 2019
  • Trained a POS tagging model using a labeled corpus; calculated F-score and predicted tagging. Designed a bottom-up parser using a given grammar.
  • Technology: Python, C++  ·  Jan–Feb 2020
  • Used SAT solver (sat4j) to detect tampering in manufactured circuits and test firewall rule equality.
  • Used SMT solver (z3) to solve problems including a sum-sudoku variant.
  • Technology: Scala  ·  Feb–Mar 2020
Career

Work Experience

C3iHub, IIT Kanpur Current
Technical Lead — Crypto Forensics
January 2025 – Present 1 year 5 months Kanpur, India

Leading the crypto forensics team at C3iHub, IIT Kanpur. Developing tools and methodologies for cryptocurrency tracing, blockchain investigation, and digital asset forensics in collaboration with national law enforcement and intelligence agencies.

BlockStash Intelligence Current
Founder & CEO
October 2022 – Present 3 years 8 months India

Blockchain security startup incubated at FIRST, IIT Kanpur (3rd Cohort program). Building innovative crypto investigation and forensics solutions. Expertise in Blockchain, Cryptography, Cryptocurrencies, Big data analysis, Graph analytics, Machine learning, and Cybersecurity.

C3iHub, IIT Kanpur
Senior Project Executive Engineer
February 2024 – January 2025 1 year Kanpur, India
Indian Institute of Technology, Kanpur
Sr. Project Executive Engineer
September 2021 – February 2024 2 years 6 months Kanpur, India

Research on address entity clustering in Bitcoin and malicious address identification in cryptocurrency. Developing blockchain analytics tools for illicit activity detection.

National Blockchain Project, IIT Kanpur
Sr. Student Research Associate
January 2021 – July 2021 7 months Kanpur, India
Indian Institute of Technology, Kanpur
Masters Student & Teaching Assistant
July 2019 – June 2021 2 years Kanpur, India

Published "Towards Malicious Address Identification in Bitcoin" at IEEE International Conference on Blockchain, Melbourne 2021. Served as Teaching Assistant (Jul 2019 – Jan 2021), assisting faculty with assignments, exams, and student guidance.

CUBERSINDIA
Founder
September 2017 – June 2019 1 year 10 months Kanpur, India

Startup providing software solutions: e-commerce websites, Android applications, administration portals, and ERP systems for clients.

Aditya Birla Group (Idea Cellular)
Software Intern
June 2017 – August 2017 3 months Noida, India

Built JSP (Java Server Pages)-based web applications for employee intra-communication. Developed frontend and backend using Bootstrap templates, JSP, and MySQL. Internal polling and survey portal used by 100–200 employees.

Academic Background

Education

Indian Institute of Technology, Kanpur

Master of Technology (MTech) — Computer Science Engineering
2019 – 2021  ·  Thesis: Malicious Address Identification in Bitcoin Blockchain

Dr. A.P.J. Abdul Kalam Technical University

Bachelor of Technology (BTech) — Computer Science
2014 – 2018  ·  Allenhouse Group of Colleges, Kanpur

Saraswati Vidya Mandir Inter College, Kanpur

Class XII — Intermediate
Completed 2014

M.V.M. Inter College, Kanpur

Class X — High School
Completed 2012
My Expertise

Skills & Technologies

Crypto Forensics Blockchain Security Cybercrime Investigation Intelligence Analysis Bitcoin Analysis Address Clustering Transaction Tracing Digital Forensics
Python C / C++ Machine Learning Graph Analysis Big Data SQL / MySQL PHP Linux / Shell HTML & CSS Docker JavaScript Cryptography

Crypto Forensics

Blockchain Analytics

Intelligence Analysis

Web Development

Get in Touch

Contact

Location

C3iHub, IIT Kanpur, Uttar Pradesh — 208016, India