Neeraj Thazhekuniyil — Software Engineer

Hello! I’m Neeraj, a B.Tech graduate in Computer Science and Engineering from NIT Nagpur and a Software Engineer at Wells Fargo. I’m a Software Engineer with experience designing and delivering production-grade microservices, authentication systems, and AI-driven customer experiences. At Wells Fargo, I’ve worked on critical workflows like fraud detection and authentication, where reliability and performance aren’t optional. I’ve taken legacy systems with multiple downstream dependencies and rebuilt them into scalable, reactive architectures using Java, Spring Boot, and reactive programming, cutting latency by ~40% and doubling throughput. I enjoy solving problems where systems are slow, tightly coupled, or hard to scale—and turning them into clean, efficient, and observable architectures. My core strengths lie in backend engineering with Java, Python, Spring Boot, Node.js, and designing REST and GraphQL APIs. I’ve built event-driven systems using Apache Kafka, worked with data stores like MongoDB and Teradata, and deployed applications on Kubernetes/OpenShift. I also use tools like Splunk for observability to ensure reliability. More recently, I’ve been exploring AI-driven systems—building solutions with LangChain, LangGraph, and Dialogflow to automate workflows and create intelligent customer experiences. What excites me most is working on high-impact systems where performance, scalability, and user experience intersect—and where I can take ownership from design to production. Right now, I’m looking to step into a Senior Software Engineer role where I can lead backend systems, drive architectural decisions, and mentor others while continuing to solve meaningful engineering problems. If you’re building something challenging and impactful, I’d love to connect—feel free to reach out at neeraj.thazhekuniyil@gmail.com.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and AI-driven solutions.

Location: Bengaluru, Karnataka, India

Experience: 3 yrs 8 mos

Skills

Backend Engineering
Microservices
Web Development
Machine Learning

Career Highlights

Reduced latency by ~40% in critical workflows.
Built scalable, reactive architectures from legacy systems.
Developed AI-driven solutions for enhanced customer experiences.

Work Experience

Wells Fargo

Software Engineer (1 yr 10 mos)

Program Associate (1 yr)

Summer Intern (2 mos)

ACM Student Chapter, VNIT

Manager (10 mos)

CARNATIONS

Web Developer (1 mo)

AXIS,VNIT Nagpur

Organizer (3 mos)

Education

Bachelor of Technology - BTech at Visvesvaraya National Institute of Technology

at The Indian School, Bahrain

Neeraj Thazhekuniyil

Software Engineer

Bengaluru, Karnataka, India3 yrs 8 mos experience

Most Likely To Switch

Key Highlights

Reduced latency by ~40% in critical workflows.
Built scalable, reactive architectures from legacy systems.
Developed AI-driven solutions for enhanced customer experiences.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and AI-driven solutions.

Contact

Skills

Core Skills

Backend EngineeringMicroservicesWeb DevelopmentMachine Learning

Other Skills

JavaSpring BootReactive ProgrammingNode.jsReactVue.jsPythonFlaskMongoDBEngineeringC++C (Programming Language)JavaScriptReact.jsCascading Style Sheets (CSS)

About

Experience

3 yrs 8 mos

Total Experience

1 yr 10 mos

Average Tenure

2 yrs 10 mos

Current Experience

Wells fargo

3 roles

Software Engineer

Promoted

Jul 2024 – Present · 1 yr 10 mos · On-site

JavaSpring BootReactive ProgrammingBackend EngineeringMicroservices

Program Associate

Jul 2023 – Jul 2024 · 1 yr · On-site

Summer Intern

May 2022 – Jul 2022 · 2 mos · Hyderabad, Telangana, India

During my internship at Wells Fargo, I contributed to the development of a web application designed to recommend tailored banking products to customers based on their past transactions. We implemented a clustering model to segment users and personalize recommendations effectively.
Additionally, the application predicted future spending patterns using a Gradient Boosting Classifier (GBC) model, enhancing customer financial insights.
We utilized React to create a dynamic and user-friendly interface, and Node.js for server-side operations, ensuring smooth performance.

Machine LearningNode.jsReactWeb Development

Acm student chapter, vnit

Manager

Jun 2021 – Apr 2022 · 10 mos

As the Manager of the ACM Coding Club at VNIT Nagpur, I was responsible for organizing and conducting regular coding sessions aimed at enhancing the coding proficiency of club members. These sessions focused on improving problem-solving skills through hands-on practice.
I also led knowledge transfer sessions on topics related to Data Structures and Algorithms, ensuring members gained a deeper understanding of these essential concepts. This initiative helped participants prepare for coding competitions and technical interviews, fostering a strong coding culture within the club.

Carnations

Web Developer

May 2021 – Jun 2021 · 1 mo

During my two-month internship at a startup focused on building an e-commerce platform for uniquely crafted gift items, I initially joined as a backend developer due to my familiarity with Node.js. My role involved developing and optimizing backend services to support the platform's functionality, ensuring a smooth and scalable user experience.
Upon completing the backend tasks ahead of schedule, I was given the opportunity to contribute to the frontend development, addressing backlogs in the project. The team provided me with the necessary resources to quickly learn and work with Vue.js, the technology used in the frontend. This experience allowed me to expand my technical skill set and gain hands-on exposure to both backend and frontend development in a fast-paced startup environment.

Web DevelopmentVue.js

Axis,vnit nagpur

Organizer

Feb 2021 – May 2021 · 3 mos

I was a part of the organizing committee for the Model United Nations (MUN) event, a key feature of AXIS, the annual technical fest of VNIT Nagpur. As an organizing member, I helped coordinate various aspects of the event, including participant registration, scheduling sessions, and ensuring smooth event logistics.
Working on this large-scale event developed my organizational and teamwork skills, while also enhancing my ability to manage deadlines and collaborate effectively with diverse teams.