Anand Tripathi

Software Engineer

Bengaluru, Karnataka, India9 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in scalable backend and AI-driven systems.
Led development of enterprise-level AI applications.
Proven track record in optimizing microservices architecture.

Stackforce AI infers this person is a Backend-heavy AI and Fintech specialist with extensive experience in scalable architectures.

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Skills

Core Skills

Backend ArchitectureGenerative AiScalability & Performance

Other Skills

RAGAI AgentsAWSMicroservicesReal-time KYCData LakesTrinoDremioDatabricksScalaKafkaHadoopAWS S3JavaSpring Boot

About

I design and build scalable backend and AI-driven systems. With 9+ years of experience in Java, microservices, and system design, I’ve built distributed systems at scale and more recently focused on production-grade GenAI applications using RAG and agentic workflows. What I work on: • Scalable microservices & distributed systems (Java, Spring Boot, AWS) • AI systems including RAG pipelines, hybrid retrieval, and LLM integrations • Multi-agent workflows (planner → executor → verifier) • High-performance APIs handling large-scale traffic Key focus areas: → Retrieval quality over model size → Evaluation to reduce hallucinations → Observability for production AI systems Currently building and sharing insights around AI Systems Engineering and scalable backend architectures. Immediate Joiner | Open to AI Systems & Backend Architecture roles

Experience

9 yrs 6 mos

Total Experience

2 yrs 2 mos

Average Tenure

11 mos

Current Experience

Ukg

Principal Software Engineer

Jun 2025 – Present · 11 mos · Noida, Uttar Pradesh, India · On-site

Led architecture of scalable microservices ensuring 99.99% uptime across production systems
Built QAstral AI using RAG + agentic workflows for enterprise automation
Implemented hybrid retrieval (vector + keyword + re-ranking) improving response accuracy
Designed AI-driven architecture integrating LLMs and internal systems for predictive defect analysis
Reduced deployment cycle time by 30% through CI/CD optimization and microservices refactoring
Mentored 10+ engineers improving code quality and delivery efficiency

Backend ArchitectureGenerative AI

Freecharge

Lead Software Development Engineer

Mar 2023 – May 2025 · 2 yrs 2 mos · Gurugram, Haryana, India

Led development of a lending application serving major partners like Axis Bank, Flipkart, Airtel, and Paytm, processing thousands of loan requests daily with real-time KYC and decision engine workflows.
Optimized eligibility checks and onboarding flows, reducing loan approval processing time by 40%.
Designed and implemented AWS-based microservices architecture, improving scalability and reducing infrastructure costs by 15%.

Backend ArchitectureScalability & Performance

Stonex group inc.

Software Engineer

Feb 2021 – Apr 2023 · 2 yrs 2 mos · Bengaluru, Karnataka, India

Delivered a trading analytics platform by setting up data lakes and integrating Trino, Dremio, and Databricks—cutting trade data query times by 50%.
Built high-performance microservices in Java & Spring Boot, supporting US and UK markets with sub-second trade execution times.
Collaborated with cross-border teams to ensure zero downtime deployments and improve operational reliability.

Backend ArchitectureScalability & Performance

Infosys ltd

Senior Associate Consultant

Feb 2019 – Feb 2021 · 2 yrs · Bengaluru, Karnataka, India

Developed and enhanced transactional revenue systems for Fidelity Investments, leading a 15-member team and reducing financial data reconciliation time by 35%.
Implemented architectural frameworks in Spring Boot and microservices, enabling seamless integration with client systems.
Maintained high client satisfaction with proactive requirement gathering and on-time delivery for AMEX banking projects.

Backend ArchitectureScalability & Performance

Big data bizviz

Software Developer

Sep 2016 – Jan 2019 · 2 yrs 4 mos · Hyderabad Area, India

Designed and developed a high-volume data pipeline using Scala, Kafka, Hadoop (HDFS), and AWS S3, enabling real-time analytics and replacing batch jobs.
Built connectors for Google Analytics, Jira, Amazon, Flipkart, Facebook, LinkedIn, and more—reducing data ingestion development time by 40%.
Spearheaded dashboard migration, improving rendering speed by 30% and enhancing user experience.
Provided training to new recruits, shortening onboarding time by 20%.

Backend ArchitectureScalability & Performance