Sameer Chachiya

Senior Software Engineer

Bengaluru, Karnataka, India4 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in integrating AI with enterprise applications.
Proven track record in modernizing legacy systems.
Strong leadership in mentoring and team collaboration.

Stackforce AI infers this person is a Full-Stack AI Engineer specializing in Fintech and enterprise applications.

Contact

Skills

Core Skills

Generative AiFull-stack DevelopmentSoftware Development

Other Skills

42crunchAI-powered enhancementsAI-ready architecture transformationAPI DevelopmentAgentic AI workflowsAgile DevelopmentAmazon Web Services (AWS)AngularAngular-to-React migrationAngularJSAnomaly DetectionAnugularApache KafkaArchitectural DesignBack-End Web Development

About

AI Full-Stack Engineer with ~5 years of experience building and modernizing enterprise applications. I specialize in integrating traditional systems (Java, Spring Boot, React, Python) with LLMs to unlock intelligent, context-aware features and drive real business value. Skilled in Generative AI and Agentic solutions, with a strong focus on end-to-end delivery—from design to deployment. Passionate about leveraging AI to enhance products, optimize workflows, and create scalable architectures. Actively exploring opportunities in AI Engineering, Full-Stack AI roles, Generative/Agentic engineering, with an ambition to grow into an AI Architect. Open to networking, collaboration, and new challenges—always eager to learn and innovate.

Experience

4 yrs 8 mos

Total Experience

2 yrs

Average Tenure

7 mos

Current Experience

First citizens india

Software Engineer - Senior Associate

Nov 2025 – Present · 7 mos · Bengaluru, Karnataka, India · Hybrid

Primarily working as a Full Stack Engineer with the Cards & payments portfolio under the BFSI - Commercial/ Corporate banking.

Verizon

Software Engineer ll

Aug 2023 – Nov 2025 · 2 yrs 3 mos · Bengaluru, Karnataka, India · Hybrid

● Delivered AI-powered enhancements across enterprise applications, integrating LLMs (GPT) and Agentic AI workflows into Java, Spring Boot, Python, and React systems to enable intelligent automation and contextual decision-making.
● Acted as a Full-Stack AI Engineer, designing scalable microservices and GenAI features that modernized legacy systems and improved engineering efficiency.
● Developed and optimized Fiber Engineering microservices, scaling to 100K+ daily transactions with sub-50ms execution— enabling AI inference at production scale.
● Built 15+ microservices and full-stack applications incorporating Generative AI, prompt engineering, vector search, and retrieval-augmented features.
● Led adoption of Agentic AI patterns, enabling autonomous task execution and workflow orchestration across development and operations.
● Mentored developers on AI integration strategies, cloud deployment, and microservice design, supporting team-wide GenAI capability uplift.
● Integrated AI features without compromising performance—improving UI responsiveness by 20% and query efficiency by 30%.
● Contributed to modernization initiatives including Angular-to-React migration and AI-ready architecture transformation.
● WON Hackathon : Built a Generative + Anomaly Detection PoC (hackathon) that improved detection accuracy by 30%, validating AI-powered observability.

AI-powered enhancementsLLMs (GPT)Agentic AI workflowsJavaSpring BootPython+10

Cerner corporation

Software Engineer I

Oct 2021 – Aug 2023 · 1 yr 10 mos · Bengaluru, Karnataka, India

● Developed and modified 45+ efficient and secure software apps using Java, Ruby on Rails, Spring Boot, and React JS in collaboration with 5+ cross-functional teams.
● Created and implemented 10+ microservices to seamlessly integrate Kafka into an existing Monolith.
● Automated the software delivery process by writing 15+ Java Groovy Scripts, achieving continuous integration and deployment and resulting in a 40% increase in overall software delivery speed.
● Identified and resolved 25+ bottlenecks and bugs, ensuring smooth operation and optimal performance.
● Actively participated in 100+ code reviews to ensure code quality and system stability.
● Provided Tier 2 support for 8+ applications (break fixes and data changes).
● Containerized applications into Docker images, optimizing server utilization and reducing cloud costs.
● Developed 150+ unit test cases and utilized Postman to comprehensively test APIs and query databases, ensuring seamless
integration and end-to-end functionality of the application.
● Won hackathon: Automated the process of fixing CVE vulnerabilities, resulting in a significant reduction in engineering time from 14 hours to just 30 minutes per CVE.

JavaRuby on RailsSpring BootReact JSKafkaJava Groovy Scripts+4

Thesmartbridge

Machine Learning Intern

Nov 2020 – Dec 2020 · 1 mo

●Leveraged machine learning knowledge to analyze a health insurance dataset from Kaggle, applying conventional techniques to prepare and tailor the data to meet project requirements.
● Developed a web application for the machine learning model using the Flask Python framework, enhancing the user experience with a polished and intuitive interface

machine learningFlask