Abhishek Trivedi — Full Stack Engineer

I am a Software Engineer-II with over 2.5 years of experience specializing in designing and scaling high-performance backend systems. My engineering philosophy is built on two pillars: a rigorous foundation in Data Structures and Algorithms (DSA) and a commitment to clean, extensible architecture using SOLID principles and Design Patterns. I have focused on resolving complex bottlenecks in financial technology, including reducing ETL latency by 80% and increasing API throughput by 60% through the redesign of microservices. I am also passionate about the intersection of AI and traditional backend engineering, having delivered production-ready RAG-enabled LLM solutions that serve thousands of queries daily. Beyond the codebase, I am a competitive programmer at heart—consistently ranked in the top 1% globally in ICPC and holding a 5 rating on CodeChef*. Core Competencies Technical Expertise 1) Languages: Java (Spring Boot), C++14/17, Python, TypeScript, SQL, C. 2) Backend & Cloud: Microservices Architecture, RESTful API Development, Kafka (Real-time Streaming), Amazon S3. 3) Performance & Caching: Distributed Caching (Hazelcast), SQL Server, MongoDB, ETL Pipeline Optimization. 4) DevOps & Tools: Kubernetes, Docker, Maven, Gradle, GIT, JUnit/Mockito. Artificial Intelligence & Innovation 1) GenAI: RAG-enabled LLM integration (Eliza LLM), AI/ML-driven automation. 2) Success: Recognized for Top 3 AI Innovations at the BNY All-India Hackathon. Engineering Foundations 1) Algorithms: Advanced Data Structures, Algorithm Design (ICPC & CodeChef 5*). 2) Low-Level Design (LLD): Object-Oriented Programming (OOP), SOLID Principles, Behavioral/Creational Design Patterns. 3) System Design: Scalability, Multi-threading, OS Internals, High Availability. Leadership 1) Ownership: End-to-end delivery of backend services and technical ownership of production systems. 2) Mentorship: Experience in leading code reviews, design discussions, and mentoring junior engineers to improve code quality.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Fintech and AI-driven solutions.

Location: Pune, Maharashtra, India

Experience: 2 yrs 7 mos

Skills

Microservices Architecture
Backend Development
Artificial Intelligence
Frontend Development

Career Highlights

Achieved 80% reduction in ETL latency.
Ranked in top 1% globally in competitive programming.
Delivered production-ready AI solutions for financial technology.

Work Experience

BNY Mellon

Senior Full Stack Developer (SDE-2) (1 yr 2 mos)

Analyst (SDE-1) (1 yr 5 mos)

SDE Intern (5 mos)

Motilal Nehru National Institute Of Technology

Department Coordinator (1 mo)

Event Coordinator (1 mo)

BNY Mellon

SDE Intern (2 mos)

Education

Bachelor of Technology - B-Tech at Motilal Nehru National Institute Of Technology

XII at Shanti Niketan Public School - India

Xth at Police modern school Agra UP

Abhishek Trivedi

Full Stack Engineer

Pune, Maharashtra, India2 yrs 7 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Achieved 80% reduction in ETL latency.
Ranked in top 1% globally in competitive programming.
Delivered production-ready AI solutions for financial technology.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Fintech and AI-driven solutions.

Contact

abhishek.trivedi280200@gmail.com LinkedIn

Skills

Core Skills

Microservices ArchitectureBackend DevelopmentArtificial IntelligenceFrontend Development

Other Skills

AI/MLAgile MethodologiesAlgorithmsAngularAngular Command Line Interface (CLI)Apache KafkaC++Cascading Style Sheets (CSS)Cloud ComputingCompetitive ProgrammingData StructuresETL OptimizationEngineeringGitGitHub

About

Experience

Bny mellon

3 roles

Senior Full Stack Developer (SDE-2)

Promoted

Jan 2025 – Present · 1 yr 2 mos · Pune, Maharashtra, India

1) Microservices Redesign: Architected the redesign of 12+ Spring Boot microservices, utilizing horizontal scaling to achieve 60% higher API throughput and 40% lower response latency.
2) ETL Optimization: Re-engineered critical ETL pipelines handling 20M records per execution, slashing processing time from 10 minutes to 2 minutes—an 80% reduction in latency.
3) Distributed Caching: Deployed Hazelcast write-through caching to offload 2,000+ read requests per minute from the primary database, ensuring system stability during peak traffic.
4) Operational Automation: Developed Python-based automation scripts that reduced manual production support tasks by 80%, significantly increasing team operational efficiency.
5) GenAI Innovation: Built a centralized RAG-enabled LLM chatbot serving 4+ ETF teams and handling 1,000+ queries per day, which cut manual support effort by 50%.
6) Scalable Communication: Managed high-throughput Kafka topics for multi-source message consumption, maintaining 99.9% reliability in real-time data delivery across the ecosystem.
7) AI/ML Integration: Led AI/ML-driven initiatives to detect system failures in real-time, reducing manual intervention by approximately 30% and minimizing system downtime.
8) Leadership & Mentorship: Took full ownership of end-to-end backend delivery and provided technical mentorship to 1 Analyst through code reviews and design discussions.
9) Support Response Speed: Improved query response times by 45% through intelligent request orchestration and enterprise-level LLM integration.
10) System Resilience: Integrated Spring Retry Templates and Cron-based scheduling to automate recovery for 100% of transient failures, enhancing overall fault tolerance.

JavaSpring BootMicroservicesKafkaHazelcastPython+3

Analyst (SDE-1)

Aug 2023 – Jan 2025 · 1 yr 5 mos · Pune, Maharashtra, India

1) AI & LLM Innovation: Engineered a centralized RAG-enabled chatbot using Eliza LLM for 4+ ETF teams, processing 1,000+ queries per day and reducing manual support effort by 50%.
2) Security & Authentication: Implemented stateless JWT authentication using Spring Boot 3 and Spring Security 6 for two microservices, ensuring secure, role-based access control for all internal API requests.
3) Support Automation: Developed a suite of automation scripts that eliminated 80% of manual production support tasks, significantly improving operational response times and team productivity.
4) System Performance: Improved general support response times by 45% through intelligent request orchestration and seamless enterprise-level integration of the LLM chatbot.
5) Frontend & Visibility: Built a real-time basket workflow dashboard using Spring Boot and Angular, providing stakeholders with immediate visibility into critical ETF status updates.

JavaSpring BootMicroservicesPythonJWT AuthenticationAngular+2

SDE Intern

Jan 2023 – Jun 2023 · 5 mos · Chennai, Tamil Nadu, India · On-site

AST Exchange Traded Funds [ETF] Services

Motilal nehru national institute of technology

2 roles

Department Coordinator

Oct 2022 – Nov 2022 · 1 mo

I had worked as a Department Coordinator of Power Surge event, organised by Electrical Engineering Department in Annual Techfest (Avishkar) of NIT Allahabad.