Naveen Sambangi

Software Engineer

Bengaluru, Karnataka, India4 yrs 10 mos experience

Highly StableAI Enabled

Key Highlights

Built AI systems saving $7M over 5 years.
Led monolith-to-microservices migration for 1M+ transactions.
Architected high-performance agri-marketplace for 40,000+ users.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with a strong focus on Fintech and AgriTech solutions.

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Skills

Core Skills

JavaSpring BootArtificial Intelligence (ai)ReactPython

Other Skills

Java 21DockerMongoDBRedisPostgreSQLTypeScriptNestJSGemini APIsAWS S3PuppeteerDistributed SystemsAI Software DevelopmentCapacitorJava 17Kafka

About

I build AI systems that cut costs and scale — a RAG chatbot saving $7M over 5 years, automated loan workflows saving $400K/year, and a government-scale agri-marketplace handling 40,000+ concurrent users. I'm a Senior Software Engineer and Technical Lead with 4+ years building production AI and backend systems at scale. At Wells Fargo, I deployed the Home Lending team's first LLM chatbot using LangChain, RAG, and Ollama — serving 35,000 users and cutting query resolution time by 40%. I also led a monolith-to-microservices migration processing 1M+ daily mortgage transactions, and automated loan fulfillment workflows eliminating 80% of manual interventions across 60,000+ daily loan events. At Bitxia Tech, I architected bidding and assaying modules for India's E-NAM 2.0 digital agriculture marketplace (ONDC protocol), sustaining sub-200ms p99 latency at 40,000+ concurrent sessions. I also built an AI-driven document intelligence system using Gemini APIs to process 200,000+ unstructured contracts, and shipped EzeeTask — an AI-powered field inspection app with 80% defect detection accuracy. Core stack: Java · Spring Boot · Python · LangChain · RAG · Gemini APIs · Agentic AI · Kafka · PostgreSQL · MongoDB · Redis · Docker · AWS · GCP · React · TypeScript NIT Calicut alumnus (ECE, 8.51 GPA) with 3 peer-reviewed publications in IEEE Access, Springer Nature, and Elsevier in the areas of generative AI and computer vision. Open to Senior Software Engineer and AI/ML Engineer roles at product-led companies where AI is a core differentiator. DM me or reach me at sambanginaveen1603@gmail.com.

Experience

4 yrs 10 mos

Total Experience

3 yrs 9 mos

Average Tenure

1 yr 1 mo

Current Experience

Bitxia tech

Technical Lead

May 2025 – Present · 1 yr 1 mo · Bangalore · Remote

Architected real-time bidding and assaying modules on the ONDC protocol for E-NAM 2.0 — sustaining 40,000+ concurrent farmer-trader auction sessions at sub-200ms p99 latency using distributed Java 21 / Spring Boot microservices.
Reduced manual agreement review effort by 70% by building an AI-driven document intelligence system using Gemini APIs, processing 200,000+ unstructured contracts with configurable data extraction rules.
Shipped EzeeTask — an AI-powered field inspection app (React + Capacitor + Gemini APIs) with 80% defect detection accuracy; improved inspector report throughput by 40% and deployed on Hostinger with 99.9% uptime.
Designed a full-stack inspection report platform (React + TypeScript + NestJS + AWS S3 + Puppeteer PDF) enabling inspectors to produce professional reports 60% faster via template-driven rendering.
Accelerated team delivery velocity by 65% through AI-assisted development workflows, containerized microservices (Docker), and optimized async data pipelines between Redis and PostgreSQL.
Stack: Java 21, Spring Boot, Docker, MongoDB, Redis, PostgreSQL, React, TypeScript, NestJS, Gemini APIs, AWS S3, Puppeteer.

Java 21Spring BootDockerMongoDBRedisPostgreSQL+7

Wells fargo

3 roles

Senior Software Engineer

Promoted

Feb 2024 – Apr 2025 · 1 yr 2 mos

Deployed the Home Lending team's first production RAG chatbot (LangChain + Ollama on Linux) serving 35,000 users — reduced query resolution time by 40%, projected to deliver $7M in savings over 5 years.
End-to-end automated loan fulfillment pipeline eliminating 80% of manual interventions across 60,000+ daily loan events — saving $400,000/year in operations costs at scale.
Engineered scalable capacity management system for 2,500+ users — improved task allocation and workflow efficiency by 30% through event-driven architecture (Kafka + Oracle).
Built 8+ income domain microservices (hydration, validation, policy enforcement) as part of a monolith-to-microservices migration; processing 1M+ daily mortgage transactions reliably in production.
Launched browser-based Agentic AI assistant (Agnetic AI) that autonomously handles simple tasks via human-in-the-loop feedback, improving team productivity by 20%.
Implemented shift-left testing strategies, reducing production incidents by 12% and improving overall project stability.
Mentored junior engineers across multiple PoCs targeting operational efficiency, fostering skill development and problem-solving capability.
Stack: Java 17, Spring Boot, Kafka, Oracle, MongoDB, Python, LangChain, Ollama, Spring Security, Harness, Splunk.

Java 17Spring BootKafkaOracleMongoDBPython+3

Software Engineer

Promoted

Aug 2022 – Mar 2024 · 1 yr 7 mos

Built a low-code AccessDB migration automation platform, automating 75% of migrations and saving 600+ developer hours annually across the engineering team.
Created compliance module framework ensuring 100% regulatory adherence under Reg B, TRID, and HMDA for all mortgage applications — zero compliance violations post-launch.
Built 35+ REST APIs for data exchange, authentication, and workflow automation — reduced integration latency by 25% post-launch.
Designed an impact analysis tool in Python automating BDD test scenario generation from code changes — improved change management cycle time by 50%.
Wrote a code reference extractor tool using regex pattern analysis, saving a 6-member team 2 full sprints of manual effort.
Automated data governance classification to categorize DB table columns from metadata, improving data accuracy by 10%.
Stack: Java 11, Python, Flask, Spring Boot, Angular, PostgreSQL, MongoDB, APIGEE, Redis, ANTLR.

Java 11PythonFlaskSpring BootAngularPostgreSQL+5

Program Associate

Jul 2021 – Aug 2022 · 1 yr 1 mo

Implemented Quarkus microservices framework achieving 2x throughput over Spring Boot, reducing cold-start time by 60% and memory usage by 40% — enabling faster, leaner deployments.
Established CI/CD pipelines using Jenkins, uDeploy, SonarQube, CheckMarx, and BlackDuck — cut release cycles by 35% and achieved zero critical post-release vulnerabilities.
Onboarded to Home Lending Originations domain; contributed to compliance and workflow features while adhering to rigorous TDD/BDD standards.
Stack: Java, Python, Spring Boot, Quarkus, Cloud Foundry, Hibernate, TDD, BDD, Jenkins.

JavaPythonSpring BootQuarkusCloud FoundryHibernate+3