Jeet Barot

Software Engineer

Mumbai, India4 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI and cloud-native architectures.
Proven track record in Fintech and compliance solutions.
Strong leadership in transforming monolithic applications.

Stackforce AI infers this person is a Fintech and AI-focused Software Engineer with strong cloud-native architecture skills.

Contact

barot.s.jeet@gmail.com LinkedIn

Skills

Core Skills

JavaAwsPythonFastapiAiComplianceProject Management

Other Skills

AWS LambdaAdobe XDAdvanced JavaAmazon EC2Amazon Relational Database Service (RDS)Amazon S3Amazon Web Services (AWS)AngularAnti-Money LaunderingAnti-fraudApache KafkaBankingBehavior-Driven Development (BDD)BioBERTBlockchain

About

Ever run into a problem and just know there has to be a better way? That’s usually where things start for me. As a software engineer passionate about AI, I’m driven by the challenge of finding practical, long-term solutions—not chasing the newest trend or patching quick fixes. Whether it’s optimizing performance, scaling systems, or navigating unexpected challenges, my focus is always on building technology that actually works and holds up over time. I’m a big believer that a bit of healthy competition goes a long way. Not for bragging rights, but because it pushes boundaries, challenges assumptions, and sparks new ideas. I enjoy digging into different tech stacks, exploring emerging tools in machine learning and AI engineering, and constantly asking how we can do things better. For me, the work goes beyond writing code. Every project ties back to a bigger picture—real-world impact. From shaping ideas and breaking down complex problems to designing, building, testing, and collaborating with teams, I like seeing things through from start to finish. It’s about creating systems that not only perform well today but continue to evolve and deliver value tomorrow. GitHub: https://github.com/jeetbarot1998 Blog: https://jeetbarot1998.wixsite.com/website

Experience

4 yrs 10 mos

Total Experience

1 yr 7 mos

Average Tenure

1 yr 8 mos

Current Experience

Lexisnexis risk solutions

Software Engineer

Oct 2024 – Present · 1 yr 8 mos · Mumbai · Hybrid

🚀 AI | Full-Stack Systems | RAG, LLMs, Compliance & Cloud-Native Architectures
I design and build intelligent, resilient systems at the intersection of AI, cloud platforms, and enterprise software. With hands-on experience across Java microservices, Python, AI stacks, and cloud-native architectures (AWS), I bridge backend scalability with cutting-edge LLM integrations.
🔹 Bankers Almanac – Global Banking Platform (180+ years legacy)
Built PII/AML-compliant data systems using Java Spring Boot + Angular, reducing data sync latency by 35% through event-driven architecture.
Integrated RAG-powered document search (LangChain + Python) with Java microservices via REST APIs.
Containerized 5 Java apps for AWS ECS, and deployed monitoring with Watchdog + ELK stack.
Migrated graph DB from Neo4j to AWS Neptune, cutting costs and aligning with AWS-native infrastructure.
Event driven - Credit Rating. Making a Spring Batch process to event driven.
Kyckr integration for NFBC.
Es-Seeder email automation.
Upgrading neo4j.
🔹 Developed an Autonomous AI Agent for Java dependency remediation using LLMs + Mend scan data—reduced triage from 3 days to 15 mins (70% accuracy); fully integrated with Git, Jenkins, and FastAPI.
🔹 Modular Context Tool – AI-Powered Code Debugging
Built an AI coding assistant using FastAPI, with a multi-model LLM stack (GPT-4, Claude, local models) and Java Spring Boot mesh.
Engineered a vectorized knowledge base (PostgreSQL + Qdrant) trained on 100+ debug sessions—accelerated routine debugging by 40% while maintaining full code privacy.
Collaborated on model fine-tuning with BERT and LoRA for personalized code retrieval.
🔹 PharmaDocs AI Compliance Suite (POC)
Designed an FDA compliance pipeline with Vertex AI + BioBERT, achieving 87%+ accuracy in medical citation verification and reducing compliance cycles from days to minutes. Refined regulatory docs and citations—cut manual wrangling time by over 25%.

JavaSpring BootPython (Programming Language)Amazon Web Services (AWS)MicroservicesRetrieval-Augmented Generation (RAG)+8

Shree siddhi service

Software Engineer

Jun 2023 – Oct 2024 · 1 yr 4 mos · Remote

1. Developed a web application to streamline story creation in Azure DevOps, cutting backlog grooming and task assignment time by 60%. Enabled direct client-developer communication, eliminating intermediaries and boosting Kanban workflow efficiency.
Tech Stack: Python, Angular, AWS
2. Transforming a Monolithic Tourism Application to microservices
Migration to Microservices: Decoupled core services into microservices using Spring Boot and Python, deployed via AWS EKS with message queues like RabbitMQ and Kafka.
Challenges Overcome: Implemented the design patterns for data consistency, used Eureka for service discovery, and Hystrix for fault tolerance.
Tech Stack: Java (Spring Boot), Python, RabbitMQ, Kafka, Docker, AWS EKS, CloudWatch.
Leadership: Led migration, solved key challenges in data consistency and monitoring, and implemented a scalable system.
3. Chatbot Development Using Llama LLM Chatbot Integration: Built a chatbot with Llama LLM using AWS Lambda, integrated into web apps for real-time responses.
Tech Stack: Python, Llama LLM, AWS Lambda, SageMaker.
4. Custom Python Modules in Odoo ERP
Module Development: Built custom Python modules to enhance Odoo ERP’s functionality, deployed via AWS, optimizing performance by 20%.
Tech Stack: Python, Odoo, AWS S3, CloudWatch.
5. Test Automation Framework Development
Framework Design: Developed a Java-based test automation framework, integrating AWS CodeBuild for CI/CD, automating testing on code commits.
Monitoring: Used AWS CloudWatch for test result logging and performance monitoring.
Tech Stack: Java, Selenium, TestNG, AWS CodeBuild, CloudWatch, Jenkins.

Java DevelopmentPython (Programming Language)Amazon Web Services (AWS)AngularJavaAWS

Keynote india

Backend Tech Consultant

Feb 2023 – May 2023 · 3 mos · Mumbai, Maharashtra, India · On-site

Fikaa Overview:
Fikaa is a pioneering women-centric investment platform akin to Kite and Robinhood, empowering women investors with tailored investment suggestions and a user-friendly experience.
Platform Development and API Integration:
Created Fikaa, leveraging BSE Star and Morningstar APIs for customized investment suggestions.
Leveraged BSE Star and Morningstar APIs to provide customized investment suggestions.
Backend Services and Data Management:
Developed backend services using Java and Python.
Integrated Kafka with AWS using Kafka Connect, AWS Sink Connectors, and custom microservices.
Stored user activity data in S3 for analysis with AWS Glue and Athena.
Managed system monitoring data in Redshift.
Server Load Management with AWS Lambda:
Utilized AWS Lambda to offload server load.
Implemented Lambda functions to extract file details when files are uploaded to S3.
Microservices Architecture:
Employed a microservices architecture for robust availability and scalability.
Designed and led the implementation of early-stage database schemas using SQL.
Leadership and Collaboration:
Led a team of engineers, coordinating development efforts.
Ensured high-quality code through rigorous testing.
Collaborated with testers and DevOps teams for a seamless user experience and continuous integration/deployment pipelines.
Technologies Used
Programming Languages : Java, Python
Cloud Services: AWS (S3, Load Balancer, Api Gateway, Athena, ECS, Lambda, Redshift)
Data Streaming: Kafka, Kafka Connect, AWS Sink Connectors
Database Management: SQL, Redshift
Architecture: Microservices
In my role at Fikaa, I focused on technical development, architectural design, team leadership, and cross-functional collaboration to deliver a secure and exceptional platform experience for our users.
link: https://play.google.com/store/apps/details?id=com.fikaa_app&hl=en_US

Django REST FrameworkPython (Programming Language)Amazon S3Amazon Relational Database Service (RDS)Amazon EC2MySQL+21

Tata consultancy services

Assistant System Engineer

Apr 2021 – Feb 2023 · 1 yr 10 mos · Mumbai, Maharashtra, India · Hybrid

Project Overview:
Worked on a system for customized report generation to improve after-sales process management for an international airline manufacturing client. This system enhanced the understanding of customer buying patterns and partner performance, optimizing supply chain management and business processes.
Key Achievements:
API Development and Report Generation:
Developed APIs in Java and Python to analyze customer buying patterns and partner performance.
Utilized Angular for creating intuitive data visualization interfaces.
Integrated RabbitMQ to enhance report generation efficiency, improving the timeliness and accuracy of insights.
Microservices Implementation:
Implemented a microservices architecture to ensure robust system availability and reduce downtime.
Optimized supply chain management, enhancing decision-making capabilities and operational efficiency.
Technologies Used:
Backend: Python Flask, Django, FastAPI, Java Spring Boot
Frontend: Angular 12
Messaging: RabbitMQ
Testing: BDD, TDD, Selenium, Rest Assured
CI/CD: Jenkins
Containerization: Docker
Cloud Services: AWS
Database: MS-SQL
In this role, I leveraged a diverse tech stack to deliver an efficient system for after-sales process management. My contributions led to significant improvements in report accuracy, system availability, and operational efficiency, enhancing the client's ability to make informed decisions and optimize business processes.

Python (Programming Language)Node.jsAmazon S3JavaScriptAmazon Relational Database Service (RDS)Putty+21

The sparks foundation

Data Science Intern

Feb 2021 – Feb 2021 · 0 mo · Mumbai, Maharashtra, India

Responsible for Training of relevant machine learning models for accurate and insightful prediction

Python (Programming Language)Data VisualizationR (Programming Language)StatisticsPython

Pianalytix

Machine Learning Intern

Dec 2020 – Dec 2020 · 0 mo

Responsible for Researching and writinging relevant, easy to understand blogs and articles on Machine Learning.

Python (Programming Language)Technical AnalysisPython

Vatanucool engineers private limited

Software Engineer

Sep 2020 – Mar 2021 · 6 mos · Mumbai, Maharashtra, India · Hybrid

Automated accounts processes of accounting lifecycle (Tally ERP) using Python for Excel data manipulation.
Developed a location-based attendance tracking system for onsite engineers.
Streamlined operations through process automation, incorporating review, feedback, and KPI-driven metrics to track and improve performance from clients.

Python (Programming Language)Microsoft ExcelGoogle FormsMicrosoft PowerPointTally ERPPython

Intellify

Project Manager Volunteer

Jul 2020 – Jul 2020 · 0 mo · Mumbai, Maharashtra, India

Responsible for developing schedules, identifying human resource needs, monitoring and controlling the project work, managing any necessary changes alongside controlling the quality of deliverables.

Team LeadershipProject Management