Pranav K. profile photo 1 on Tal

Pranav K.

Software Engineer | Backend & Frontend Development | Java | Spring Boot | React | AWS | REST APIs

Bengaluru

2+ years of work experience

Visa
Jun 20242 y 2 moAug 2026

Bengaluru · Hybrid

• Contributed to a secure enterprise file transfer platform using Java, Spring Boot, React, REST APIs, AWS S3, and SFTP to support Web, SFTP, and S3-to-S3 file exchanges, enabling secure data transfers for 5,000+ enterprise users and processing over 200GB of business-critical data across internal and external systems. • Contributed to an agentic AI platform by developing Python-based LangChain tools that enabled LLM-driven API orchestration for product mapping and administrative workflows, including client and product management, reducing manual mapping effort from 1 week to 1–2 days. • Developed recursive nested ZIP extraction in Java and Spring Boot with multithreaded processing to support archives up to 5 nested levels (100 files per level), enabling non-technical users to upload complex bundled reports directly while facilitating business workflows responsible for over $10M in revenue movement. • Designed and implemented a chunk-based large file download framework using Java, Spring Boot, REST APIs, and asynchronous processing to improve reliability for files exceeding 1GB, providing retryable chunk recovery, resumable downloads, and real-time progress tracking. • Redesigned file scan retry workflows using Java and Spring Boot to automatically reprocess failed scans, reducing recovery time while improving platform reliability and system resiliency. • Optimized backend performance using Java, Spring Boot, Spring Cache, and SQL to reduce repetitive database queries for frequently accessed product metadata, improving API response times and overall application performance. • Enhanced enterprise web applications using React, JavaScript, HTML, CSS, and VGAR accessibility standards to modernize legacy user/product mapping workflows and integrate AI-driven conversational experiences for improved usability and accessibility
Visa
Jan 20246 mosJun 2024

Bengaluru · Hybrid

• Configured centralized observability dashboards, log monitoring, and automated alerts using Splunk and Grafana forJava and Spring Boot services, improving production visibility, eliminating manual server log analysis, and accelerating issue diagnosis across multiple data centers. • Enhanced monitoring workflows and data visualization using React, Spring Boot, and Hadoop, modernizing internal dashboards while achieving full VGAR accessibility compliance.
Visa
May 20233 mosJul 2023

Bengaluru

• Developed a Python-based administrative dashboard with a React front end to enhance enterprise management workflows. • Implemented backend integrations and automated data processing workflows using Python to improve data accessibility. • Streamlined operational efficiency for internal teams, reducing manual effort in daily tasks.
GitHub
@Pranav-K2002

Pranav’s AI Stack

claude code
claude code
claude
claude
deepseek
deepseek
github copilot
github copilot
openai
openai
claudecode
claudecode

Education

National Institute of Technology, Tiruchirappalli

Bachelor of Engineering - BE, Computer Science

National Institute of Technology, Tiruchirappalli

20204 yrs2024

Join Pranav and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Pranav K. on Tal

Headline

Software Engineer | Backend & Frontend Development | Java | Spring Boot | React | AWS | REST APIs

About

I am a 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 with experience building scalable enterprise applications and solving complex engineering problems across 𝗯𝗮𝗰𝗸𝗲𝗻𝗱, 𝗳𝗿𝗼𝗻𝘁𝗲𝗻𝗱, 𝗰𝗹𝗼𝘂𝗱, 𝗮𝗻𝗱 𝗔𝗜. My core expertise includes 𝗝𝗮𝘃𝗮, 𝗦𝗽𝗿𝗶𝗻𝗴 𝗕𝗼𝗼𝘁, 𝗥𝗲𝗮𝗰𝘁, 𝗦𝗤𝗟, 𝗥𝗘𝗦𝗧 𝗔𝗣𝗜𝘀, 𝗮𝗻𝗱 𝗔𝗪𝗦. I have worked on secure file transfer platforms, large-file processing, asynchronous systems, performance optimization, application reliability, and enterprise web applications. I also have hands-on experience building AI-driven solutions using 𝗣𝘆𝘁𝗵𝗼𝗻, 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻, and 𝗟𝗟𝗠-𝗯𝗮𝘀𝗲𝗱 𝗔𝗣𝗜 𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 that automated workflows I enjoy working on challenging technical problems, designing reliable systems, improving application performance, and building solutions that create measurable business impact. 𝗖𝗼𝗿𝗲 𝗦𝗸𝗶𝗹𝗹𝘀: Java | Spring Boot | React | Python | SQL | REST APIs | AWS | LangChain | LLMs | Generative AI | JavaScript | SFTP | AWS S3 | Splunk | Grafana | Git

Location

Bengaluru

AI stack

claude code

claude

deepseek

github copilot

openai

claudecode

Work experience

Software Engineer at Visa, Jun 2024 - Aug 2026 · 2 y 2 mo, Bengaluru · Hybrid, • Contributed to a secure enterprise file transfer platform using Java, Spring Boot, React, REST APIs, AWS S3, and SFTP to support Web, SFTP, and S3-to-S3 file exchanges, enabling secure data transfers for 5,000+ enterprise users and processing over 200GB of business-critical data across internal and external systems. • Contributed to an agentic AI platform by developing Python-based LangChain tools that enabled LLM-driven API orchestration for product mapping and administrative workflows, including client and product management, reducing manual mapping effort from 1 week to 1–2 days. • Developed recursive nested ZIP extraction in Java and Spring Boot with multithreaded processing to support archives up to 5 nested levels (100 files per level), enabling non-technical users to upload complex bundled reports directly while facilitating business workflows responsible for over $10M in revenue movement. • Designed and implemented a chunk-based large file download framework using Java, Spring Boot, REST APIs, and asynchronous processing to improve reliability for files exceeding 1GB, providing retryable chunk recovery, resumable downloads, and real-time progress tracking. • Redesigned file scan retry workflows using Java and Spring Boot to automatically reprocess failed scans, reducing recovery time while improving platform reliability and system resiliency. • Optimized backend performance using Java, Spring Boot, Spring Cache, and SQL to reduce repetitive database queries for frequently accessed product metadata, improving API response times and overall application performance. • Enhanced enterprise web applications using React, JavaScript, HTML, CSS, and VGAR accessibility standards to modernize legacy user/product mapping workflows and integrate AI-driven conversational experiences for improved usability and accessibility

Data Engineering Intern at Visa, Jan 2024 - Jun 2024 · 6 mos, Bengaluru · Hybrid, • Configured centralized observability dashboards, log monitoring, and automated alerts using Splunk and Grafana forJava and Spring Boot services, improving production visibility, eliminating manual server log analysis, and accelerating issue diagnosis across multiple data centers. • Enhanced monitoring workflows and data visualization using React, Spring Boot, and Hadoop, modernizing internal dashboards while achieving full VGAR accessibility compliance.

Summer Intern at Visa, May 2023 - Jul 2023 · 3 mos, Bengaluru, • Developed a Python-based administrative dashboard with a React front end to enhance enterprise management workflows. • Implemented backend integrations and automated data processing workflows using Python to improve data accessibility. • Streamlined operational efficiency for internal teams, reducing manual effort in daily tasks.

Education

Bachelor of Engineering - BE, Computer Science, National Institute of Technology, Tiruchirappalli

Public links

github: https://github.com/Pranav-K2002