Dhivakar Rajaram
Blockchain & AI Engineer · Tech Lead · Full-Stack · Research-to-Production
Professional Summary
Research-driven Blockchain & AI Engineer with strong startup experience leading zero-to-one product development. Adept at translating complex research into secure, scalable, production-grade systems. Experienced in distributed system design, privacy-preserving cryptography, applied AI/ML, and technical leadership across cross-functional teams.
Work Experience
Blockchain Developer / Tech Lead
- Led end-to-end blockchain product development from research and architecture to production deployment.
- Designed systems across EVM, LWS, and Monero-based blockchain environments.
- Built backend services in C++, smart contracts in Solidity, and WASM / JS / TS frontends.
- Implemented privacy-preserving cryptography including Bulletproofs++.
- Integrated ERC-4337 (Account Abstraction) for advanced wallet workflows.
- Applied AI/ML techniques for automation, analytics, and system optimization.
- Owned AWS infrastructure, Nginx, CI/CD pipelines, and deployment automation.
- Mentored engineers and collaborated with product, design, marketing, and mobile teams.
R&D Blockchain Engineer
- Conducted blockchain, cryptography, and privacy research and translated papers into production systems.
- Designed and built a privacy-focused blockchain chat application from scratch.
- Defined and enforced end-to-end security and privacy architecture.
- Developed secure backend servers supporting real-time messaging.
- Led a small engineering team and worked closely with Android, iOS, and product teams.
Leadership & Innovation
- Led national-level hackathon teams, consistently delivering beyond problem statements.
- Built a real-time video conferencing system with automated agenda and meeting-minutes generation.
- Developed AI-driven financial misinformation detection and monitoring systems.
- Designed ML-based crime pattern analysis and hotspot prediction platforms.
- Strong focus on mentoring engineers, architectural ownership, and long-term scalability.
Featured Projects
- NeuroCom: EEG-based brain-to-brain communication system using signal processing and ML.
- Credit Card Customer Analytics: ML-based customer segmentation and behavioral analysis.
- Customer Segmentation & Marketing Insights: Clustering models for decision support.
- Crypto Forecasting Tools: Data-driven market trend prediction models.
- Face Detection System: Computer vision project using Python and ML libraries.
Skills
- Blockchain Architecture (EVM, LWS)
- Solidity & Smart Contracts
- ERC-4337 & Account Abstraction
- Privacy & Cryptography (Bulletproofs++)
- Distributed Systems
- AI / ML & Deep Learning
- Computer Vision & NLP
- C++, Python, JavaScript, TypeScript
- AWS, Nginx, CI/CD
- Zero-to-One Startup Engineering
Achievements
- Winner – RoboWars, IIT Madras (Shaastra)
- Winner – RoboWars, NIT Trichy (Pragyan)
- Quarterfinalist – Texas Instruments Innovation Challenge
- Finalist – Multiple national-level hackathons