Mahesh Vaswani profile photo 1 on Tal

Mahesh Vaswani

SWE @ Barclays | ex - eQ Technologic, Dell Technologies, Northern Trust | CSE @ PICTโ€™25 | ๐Ÿ† 2x InC Winner (2023, 2025) | ๐ŸŽ–๏ธ 4x Tech Winner | Full Stack Developer

Pune District

2+ years of work experience

Barclays
Mar 20266 mosPresent

Pune City, Maharashtra, India

eQ Technologic
Jul 20259 mosMar 2026

Pune District, Maharashtra, India ยท Hybrid

- Developed full-stack production-grade features in Java Spring Boot and React for eQube-TM our flagship product improving product efficiency and functionality enhancements. - Designed and delivered scalable modules that reduced data-sync latency by ~30% and enhanced system interoperability across multi-environment deployments. - Collaborated with cross-functional agile teams to ensure 100% on-time feature delivery and smooth international rollouts. - Applied secure coding standards and quality tools (Sonar, Checkmarx) to maintain zero critical vulnerabilities in production.
eQ Technologic
Jan 20257 mosJul 2025

Pune District, Maharashtra, India ยท Hybrid

-Delivered production-ready full-stack features using Java Spring Boot and React (NX Framework) for enterprise deployments, accelerating customer onboarding by 25%. - Built a Monitor Services Framework to control backend lifecycles (start/stop/restart, mode, uptime) โ€” reducing manual maintenance effort by 70% and improving uptime visibility. - Developed a Tracer Framework for API performance metrics(execution time, params, log-levels), cutting API response time debugging from hours to minutes. - Contributed to agile ceremonies, ensuring 95% sprint completion rate and consistent velocity improvement.
Dell Technologies
Aug 20249 mosApr 2025

Pune District, Maharashtra, India

-Designed and deployed an ML-powered Anomaly Detection Platform with React + Flask, monitoring 1M+ device logs daily across enterprise infrastructure. -Integrated TensorFlow + Scikit-Learn ensemble models achieving ~90% detection accuracy, reducing manual review workload by ~80%. -Leveraged LLaMA-based LLMs to generate natural-language anomaly explanations, cutting root-cause analysis time by ~60%. -Ensured 90% test coverage across modules, strengthening code reliability and compliance.
Northern Trust
Jun 20243 mosAug 2024

Pune District, Maharashtra, India

- Developed a resilient Spring Boot microservices framework to handle external service dependencies, ensuring seamless operation during third-party API downtimes through dynamic response generation. - Automated the processing of external file feeds, eliminating dependency on third-party scheduling tools, and ensuring data availability across environments. - Designed and implemented a React-based UI, empowering developers and testers to manage service integrations and automate job execution, improving overall efficiency and flexibility.
Pune Institute of Computer Technology
Jan 20244 mosApr 2024

Pune District, Maharashtra, India

- Developed a Personalized Mental Health Analyser utilizing Federated Machine Learning to enhance user privacy while delivering accurate mental health predictions. - Leveraged technologies such as TensorFlow, NumPy, and Pandas for data analysis and model training, ensuring robust performance and reliability. - Designed a user-friendly platform using HTML, CSS, and Flask, integrating a recommendation engine and a personalized chatbot to improve user engagement and support.
GitHub
@maheshv09

Maheshโ€™s AI Stack

antigravity
antigravity
codex
codex
cursor
cursor

Education

Pune Institute of Computer Technology

Bachelor of Engineering - BE, Computer Engineering

Pune Institute of Computer Technology

20214 yrs2025
St. Vincent's High School

12th HSC

St. Vincent's High School

20192 yrs2021

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Headline

SWE @ Barclays | ex - eQ Technologic, Dell Technologies, Northern Trust | CSE @ PICTโ€™25 | ๐Ÿ† 2x InC Winner (2023, 2025) | ๐ŸŽ–๏ธ 4x Tech Winner | Full Stack Developer

About

๐’๐จ๐Ÿ๐ญ๐ฐ๐š๐ซ๐ž ๐ƒ๐ž๐ฏ๐ž๐ฅ๐จ๐ฉ๐ž๐ซ | ๐“๐ž๐œ๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐ฌ๐ญ | ๐…๐ฎ๐ฅ๐ฅ-๐’๐ญ๐š๐œ๐ค ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ | Iโ€™m Mahesh Vaswani, a Software Developer at Barclays with a strong foundation in fullโ€‘stack engineering and AI. I graduated in 2025 with a B.E. in Computer Engineering (Honors in Data Science) from PICT Pune, where I secured 1st rank in Pune University and won four nationalโ€‘level hackathons. My journey includes internships at Dell Technologies, Northern Trust, and eQ Technologic, followed by fullโ€‘time experience at eQ Technologic building enterpriseโ€‘grade products. Over the years, Iโ€™ve gained proficiency in React, Reduxโ€‘Saga, Java, Spring Boot, Microservices, Hibernate, Kafka, SQL, and OpenShift, enabling me to design and deliver scalable, productionโ€‘ready systems. Currently at Barclays, Iโ€™m contributing to fintech solutions that demand performance, reliability, and innovation. ๐Ÿ’ก Always eager to take on challenging roles where I can contribute to building scalable, high-impact systems and continue growing as an engineer. ๐Ÿ“ซ ๐‹๐ž๐ญโ€™๐ฌ ๐œ๐จ๐ง๐ง๐ž๐œ๐ญ: https://github.com/maheshv09 ๐Ÿงพ ๐ƒ๐ž๐ญ๐š๐ข๐ฅ๐ž๐ ๐‘๐ž๐ฌ๐ฎ๐ฆ๐ž & ๐๐ซ๐จ๐ฃ๐ž๐œ๐ญ๐ฌ: https://drive.google.com/file/d/1SlpvS4SpoB1cvzLLOswNVrhEqiX7hNCi/view?usp=sharing

Location

Pune District

AI stack

antigravity

codex

cursor

Work experience

Software Developer at Barclays, Mar 2026 - Present ยท 6 mos, Pune City, Maharashtra, India

SDE at eQ Technologic, Jul 2025 - Mar 2026 ยท 9 mos, Pune District, Maharashtra, India ยท Hybrid, - Developed full-stack production-grade features in Java Spring Boot and React for eQube-TM our flagship product improving product efficiency and functionality enhancements. - Designed and delivered scalable modules that reduced data-sync latency by ~30% and enhanced system interoperability across multi-environment deployments. - Collaborated with cross-functional agile teams to ensure 100% on-time feature delivery and smooth international rollouts. - Applied secure coding standards and quality tools (Sonar, Checkmarx) to maintain zero critical vulnerabilities in production.

SDE Intern at eQ Technologic, Jan 2025 - Jul 2025 ยท 7 mos, Pune District, Maharashtra, India ยท Hybrid, -Delivered production-ready full-stack features using Java Spring Boot and React (NX Framework) for enterprise deployments, accelerating customer onboarding by 25%. - Built a Monitor Services Framework to control backend lifecycles (start/stop/restart, mode, uptime) โ€” reducing manual maintenance effort by 70% and improving uptime visibility. - Developed a Tracer Framework for API performance metrics(execution time, params, log-levels), cutting API response time debugging from hours to minutes. - Contributed to agile ceremonies, ensuring 95% sprint completion rate and consistent velocity improvement.

Project Intern at Dell Technologies, Aug 2024 - Apr 2025 ยท 9 mos, Pune District, Maharashtra, India, -Designed and deployed an ML-powered Anomaly Detection Platform with React + Flask, monitoring 1M+ device logs daily across enterprise infrastructure. -Integrated TensorFlow + Scikit-Learn ensemble models achieving ~90% detection accuracy, reducing manual review workload by ~80%. -Leveraged LLaMA-based LLMs to generate natural-language anomaly explanations, cutting root-cause analysis time by ~60%. -Ensured 90% test coverage across modules, strengthening code reliability and compliance.

SDE Summer Intern at Northern Trust, Jun 2024 - Aug 2024 ยท 3 mos, Pune District, Maharashtra, India, - Developed a resilient Spring Boot microservices framework to handle external service dependencies, ensuring seamless operation during third-party API downtimes through dynamic response generation. - Automated the processing of external file feeds, eliminating dependency on third-party scheduling tools, and ensuring data availability across environments. - Designed and implemented a React-based UI, empowering developers and testers to manage service integrations and automate job execution, improving overall efficiency and flexibility.

Research Intern at Pune Institute of Computer Technology, Jan 2024 - Apr 2024 ยท 4 mos, Pune District, Maharashtra, India, - Developed a Personalized Mental Health Analyser utilizing Federated Machine Learning to enhance user privacy while delivering accurate mental health predictions. - Leveraged technologies such as TensorFlow, NumPy, and Pandas for data analysis and model training, ensuring robust performance and reliability. - Designed a user-friendly platform using HTML, CSS, and Flask, integrating a recommendation engine and a personalized chatbot to improve user engagement and support.

Education

Bachelor of Engineering - BE, Computer Engineering, Pune Institute of Computer Technology

12th HSC, St. Vincent's High School

Public links

github: https://github.com/maheshv09