---
title: "Pranav Bilwanikar - Software Engineer in Bengaluru | Tal"
description: "Meet Pranav Bilwanikar, Senior Software Engineer | Java · Spring Boot · Microservices · Kafka · Kubernetes | 3+ YOE based in Bengaluru. AI stack includes claude code, codex, and cursor. Explore public work links including leetcode."
image: "https://tal.club/meet/pranav-bilwanikar/share-image"
---

# Pranav Bilwanikar on Tal

## Headline

Senior Software Engineer \| Java · Spring Boot · Microservices · Kafka · Kubernetes \| 3\+ YOE

## About

Backend engineer with 3\+ years building distributed, high\-throughput systems in Java and Spring Boot\. Currently at HSBC, delivering production\-grade microservices across cloud\-native infrastructure — Kubernetes, Docker, AWS — with messaging via Kafka and Solace\. I work across the full backend lifecycle: design, development, CI/CD pipelines, observability, and data layers\. Comfortable in fast\-paced, cross\-functional teams and experienced with agentic AI integrations\. Core stack: Java · Spring Boot · Spring Cloud · Microservices · Apache Kafka · Kubernetes · Docker · AWS · REST APIs · Redis · MongoDB · MySQL Open to Senior Software Engineer / SDE\-II roles in product\-first companies\.

## Location

Bengaluru

## AI stack

claude code

codex

cursor

github copilot

notion

openai

perplexity

## Work experience

Software Engineer at HSBC, Feb 2023 \- Present · 3 yrs 3 mos, On\-site, Collaborated on designing, developing, and maintaining RESTful APIs for diverse banking applications\. Created comprehensive Swagger docs, enhancing accessibility and clarity for both internal and external stakeholders\. Led migration of legacy systems to microservices architecture, resulting in elevated scalability and maintenance efficiency\. Orchestrated seamless onboarding of a Spring Boot microservice, optimizing critical data exchange between services\. Engineered a novel data storage solution on Amazon S3, obviating the need for intermediary POJOs\. Partnered cross\-functionally with business analysts, ensuring precise data analysis and reporting alignment\. Architected microservice for direct data transformation and storage on Amazon S3, expediting analytical access\. Implemented robust data upload, retrieval, and management with AWS SDKs, fortified with encryption and access controls\. Spearheaded code reviews and integration of feedback, elevating the microservice's codebase quality\. Streamlined CI/CD pipeline integration, collaborating effectively with DevOps for frictionless deployments\. Produced detailed, user\-friendly documentation for stakeholders, empowering thorough data analysis\. Facilitated team\-wide understanding of microservice architecture and value, enhancing utilization\. Proactively optimized microservice's performance, fostering cost savings and faster data retrieval\. Championed best practices for code review, unit testing, and continuous integration, expediting development\. Navigated critical troubleshooting and rapid issue resolution, minimizing downtime and ensuring stability\.

Trainee Software Engineer at HSBC, Aug 2022 \- Jan 2023 · 6 mos, Pune District, Maharashtra, India

Medical Analyst at Logy\.AI, Oct 2021 \- Apr 2022 · 7 mos, Hyderabad, Telangana, India

Computer Vision Engineer Intern at Zlandya, Nov 2021 \- Mar 2022 · 5 mos, New Delhi, Delhi, India, Spearheaded the exploration of cutting\-edge challenges in applied computer vision, demonstrating a keen ability to identify and solve complex problems\. Leveraged deep learning techniques to develop innovative solutions for a diverse range of computer vision applications\. Led end\-to\-end execution of pioneering research projects, resulting in advanced recommendations and insights benefiting a targeted user group\. Extensively engaged with state\-of\-the\-art models, rigorously investigating and adapting various pre\-trained models to address specific project requirements\. Collaborated closely with interdisciplinary teams to integrate research findings, fostering a collaborative environment for knowledge sharing and synergy\. Continuously stayed abreast of the latest advancements in the field, incorporating new methodologies to enhance the effectiveness of research endeavors\.

Data Analyst Intern at Analytics Domain, Mar 2021 \- Jun 2021 · 4 mos, Pune, Led a pivotal role in a large\-scale project involving geospatial analysis\. Utilized advanced geospatial analysis techniques to process raster and shape files, employing libraries such as Geopy, osmnx, and GDAL\. Collaborated seamlessly with cross\-functional teams, effectively conveying technical insights to non\-technical stakeholders for informed decision\-making\. Simultaneously leveraged QGIS software to enhance geospatial analysis capabilities, enabling comprehensive insights and efficient project execution\. Demonstrated exceptional time management and project planning skills, consistently delivering high\-quality work within deadlines\. Contributed to open\-source projects within the geospatial community, enhancing professional reputation and fostering collaborative relationships\.

## Education

Bachelor of Technology \- BTech, Electronics and Communications Engineering, MIT World Peace University

Science, Shivchhatrapati College

## Public links

- leetcode: https://leetcode\.com/pbilwanikar

[View the original profile](https://tal.club/meet/pranav-bilwanikar)

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