Headline

Engineer | YT (Algorithms Made Easy)

About

Principal Engineer and Technical Leader with 11 years of expertise in backend systems, system architecture, and engineering management. Proven ability to deliver scalable, high-impact solutions with technical vision and systems engineering expertise managing $1Bn+ in loan assets across fintech and crypto sectors. Expert in Java, Spring Boot, microservices, and cloud platforms with a focus on leveraging AI-assisted workflows to maximize team velocity and operational efficiency; adept at leading cross-functional teams and mentoring engineers. Core Impact & Achievements: Scalability: Engineered a notification system at Paytm handling peak traffic of 200,000 requests per minute (200K RPS) with 99.9% delivery success. Asset Management: Directed architectural enhancements and migrations for loan platforms, managing an active loan book of $1Bn+ and projected growth to $1.5Bn. System Design: Lead architect for complex integrations like the ONDC Seller App and re-architecting transaction processing engines for granular control and extensibility. Efficiency: Achieved 95% storage optimization and significant latency reductions through modular microservices and advanced design patterns. Technical Expertise: • Languages / Frameworks: Java, Spring Framework, Spring Boot, REST API, Scala • Messaging / Streaming: Kafka, Apache Pulsar, RabbitMQ • Databases & Caching: PostgreSQL, Redis, NoSQL, Caching Frameworks • DevOps & Cloud: AWS Services, Docker, Integration Testing, JUnit, Mockito • Architectures: Microservices, Event-Driven Architecture, System Design • Specialties: Performance Optimization, Scalable Solutions • AI & Productivity Tools: Claude, Cursor, Custom LLM Agent/Skill Development, Prompt Engineering, Automated Test & Spec Generation Beyond my core engineering roles, I am passionate about technical education and mentorship. I founded "Algorithms Made Easy," a platform with 43,000+ subscribers where I translate complex system design and algorithmic concepts for a global developer community. I thrive on solving "impossible" scaling challenges and leading cross-functional teams to deliver high-stakes financial products. 📧 Reach out at rajatag03@gmail.com for collaborations or technical leadership opportunities.

Location

Bengaluru

AI stack

antigravity

claude code

claude

cursor

gemini

kimi

Work experience

Engineer-E3 at BitGo, Aug 2024 - Present · 2 y, Bengaluru, Karnataka, India, --- Transaction Infrastructure: Re-architected the transaction processing engine to enable granular controls and extensibility for transaction onboarding and nested connections. --- Database & System Design: Architected modular database schemas and synchronization flow for collateral processing, prioritizing long-term extensibility and system decoupling. --- Strategic Initiatives: Spearheading a specialized engineering team to develop a novel initiative for loans featuring dynamic collateral pledging. --- AI-Driven Engineering Efficiency: Built custom AI skills and prompt pipelines for developer workflows, automating TDD generation, PR reviews, and integration testing, boosting sprint productivity by 25%. --- Loan Book Impact: Managed active loans migration impacting a $1Bn+ loan book and drove architecture enhancements resulting in a projected $1.5Bn loan book size. --- Technical Leadership & AI Operations: Leading technical decisions for critical financial systems and leveraging AI-assisted diagnostic tooling to optimize operational triage and microservice log analysis. --- Mentorship: Leading and mentoring interns and junior developers, promoting AI tool adoption and engineering excellence across the team.

Technical Lead at Paytm, Dec 2022 - Jul 2024 · 1 yr 8 mos, Pune District, Maharashtra, India, ONDC (Open Network for Digital Commerce) • Led and mentored a team of 3. • Integrated ONDC seller app with Petpooja, enhancing search functionalities. • Designed and developed a highly modular and extensible service to enrich product arguments through multi-level filtering. • Upgraded messaging system from RabbitMQ to Kafka, resulting in stable and scalable message processing, effectively handling higher volumes of data. ➢ Notifications System • Devised Observer pattern-based solution for dynamic updates, enabling controlled consumer behavior without app redeployment. • Realized a remarkable 95% storage reduction via strategic caching implementation, optimizing performance and reducing API response time by 5ms. • Efficiently streamlined infrastructure by consolidating ALB and decommissioning redundant ELBs, resulting in ₹25K/year cost savings. • Resolved rate limiting issue by refining measures through stress testing and Redis set understanding, ensuring optimal system capacity utilization. • Successfully executed version-driven migration of key infra components (Redis, Kafka), extracting security enhancements and best practices.

Technical Lead at Fiserv, Jun 2021 - Dec 2022 · 1 yr 7 mos, Pune Division, Maharashtra, India, SMS Service: • Managed the entire microservice lifecycle, from development to deployment. • Led client and vendor discussions, addressing requirements and resolving issues. Developed REST APIs in Scala and created deployment scripts for the application. ➢ E-statement Service: • Initiated the development of an event-driven architecture for e-statement download requests. • Extensively utilized Pulsar to enhance event mechanisms across multiple microservices. • Delivered high-quality code, incorporating additional feature requirements.

Software Developer II (G2) at TSYS, Sep 2020 - Jun 2021 · 10 mos, Pune Division, Maharashtra, India, ❖ Fraud Detection System • Developed Restful API for fraud rules which act as an interface for detecting fraud transactions. • Developed Micro services on Spring Boot. • Fraud Detection Software works for both Real-time and Non-Real-time Credit Card transactions. • Developed Audit Log framework which logs request, response and time taken by API for every call using AspectJ. • Developed a portable Reporting framework which fetches data from local as well as third party databases. • Worked on eliminating the top ten OWASP security vulnerabilities. • Automated build to deploy, fail-safe and parallel execution cycle using Jenkins.

Software Developer II (G1) at TSYS, Jul 2018 - Sep 2020 · 2 yrs 3 mos, Pune, Maharashtra, India, TSYS is a United States credit card processor, merchant acquirer, and bank credit card issuer. I am working on their Credit Card Fraud Detection application.  Developed Fraud Detection Software for both Real-time and Non-Real-time Credit Card transactions.  Developed Audit Log framework which logs request, response and time taken by API for every call using AspectJ.  Developed a portable Reporting framework which fetches data from local as well as third party databases.  Worked on eliminating the top ten OWASP security vulnerabilities.  Automated build to deploy, fail-safe and parallel execution cycle using Jenkins.

Associate Consultant at Capgemini India, Jul 2015 - Jun 2018 · 2 y 11 mo, Pune

Education

B.tech, Computer Science, Global Institute of Technology,Jaipur

senior secondary, SCEINCE MATHS, subodh public school

Public links

leetcode: https://leetcode.com/rajatag03

youtube.com: https://youtube.com/@AlgorithmsMadeEasy