Hrishikesh Rajesh Mane

Software Engineer at Amazon, Sunnyvale
📚 Software Engineering | San Jose, California, United States
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👤 About

Skills & Expertise

JavaScript Java Microservices Amazon Web Services (AWS) React Cloud Computing Java Programming Microservices Design Microservices Design Java Programming JavaScript Development React Framework RESTful APIs Webpack Tooling Linux Administration Networking Basics Data Center Virtualization Enterprise Virtualization Full Stack Development AWS Cloud Services AI Integration Machine Learning Software Debugging Agile Development System Scalability Infrastructure Automation Frontend Technologies

Research Interests

Software Engineering HTTP/HTTPS Cloud Computing Microservices Architecture Full Stack Development Backend Infrastructure Frontend Development Machine Learning Artificial Intelligence Java Development JavaScript Frameworks React Development Linux Systems Networking Technologies Virtualization Tools REST API Design AWS Services Web Application Engineering Software Architecture Scalable Systems Technical Mentorship

Connect With Me

💼 Experience

Software Engineer

Amazon, Sunnyvale · January 2025 - Present

Software Engineering

Amazon Web Services (AWS) · May 2024 - January 2025
  • ● Led the successful decoupling of a service from a tightly coupled monolith system in Java, enabling the transition toward a robust microservice architecture. Resulted in increased system availability and improved scalability ● Spearheaded the designing and development of a highly efficient service, replacing the existing search platform with Elastic search technology. Implemented a seamless migration process, enhancing search functionality, and improving availability to 99% across 50+ regions in the AWS network ● Added Metrix, Logs, and Alarms to mitigate and troubleshoot Dynamo DB and web services using AWS Cloudwatch, resulting in 50% fewer customer tickets and identifying anomalies preemptively in pre-production regions ● Enforced type safety across microservices REST API via Smithy and code generation, reducing bugs by 15% ● Introduced robust authorization and throttling based on service principals and service level agreements, elevating security in a multi-tenant and multi-region application for more than 1,500 customers Skills: Microservices · Java · Continuous Integration and Continuous Delivery (CI/CD) · Amazon Web Services (AWS) · Elasticsearch · Back-End Web Development

Software Engineer Intern

Amazon Web Services (AWS) · May 2023 - August 2023

Senior Software Engineer

iauro Systems Pvt Ltd. (iauro) · December 2021 - January 2023
  • Webpack · JavaScript · React.js · Git · CSS · Docker · TypeScript · Automation · Web Applications · Front-End Development

Engineer- End User Computing

Broadcom Inc. (VMWare Inc.), Palo Alto · May 2020 - December 2021
  • Skills: Linux · Networking · VMware Horizon View · SQL · Python (Programming Language) · Access Gateway · VMware vCenter · JavaScript · TypeScript

Machine Learning Engineer

ASCP GPUONCLOUD PVT LTD. · January 2019 - June 2020
  • Skills: TensorFlow · Keras · Machine Learning · Python (Programming Language) · Natural Language Processing (NLP)

Mentor for Tensorflow at Google Code-in

Google Code-in (GCI) · December 2019 - January 2020
  • Skills: Machine Learning · Python (Programming Language) · Data Science

🎓 Education

Binghamton University (BU)

M.SC in Computer Science · 2022

Savitribai Phule Pune University

BE in Computer Engineering · 2020

🎤 Conferences & Seminars (1)

Computational Intelligence Based Model Detection of Disease using Chest Radiographs
2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE) · Vellore, Tamil Nadu, Country · April 2020
There are many diseases associated with lungs or thoracic cavity and the diagnosis of these diseases at once becomes difficult for any medical profusion. The most common way of screening done when the thoracic cavity comes into the picture is Chest Radiography. However, diagnosing multiple diseases from a single scan becomes difficult. This paper proposes an intelligent machine learning-based model which tries to detect 14 chest diseases out from a single radiograph with greater accuracy. This paper makes use of advanced deep learning techniques like neural networks, masking algorithms, etc. to assure higher performances. 10.1109/ic-ETITE47903.2020.484 Hrishikesh Mane Student (B.E.), Department of Computer Engineering, Modern Education Society’s College of Engineering, Pune, India Parag Ghorpade Student (B.E.), Department of Computer Engineering, Modern Education Society’s College of Engineering, Pune, India Vedant Bahel Student (B.E.), Department of Information Technology, G H Raisoni College of Engineering, Nagpur, India

🏅 Certificates & Licenses (2)

Kubernetes in the Google Cloud
Qwiklabs · Issued on August 2019
https://www.cloudskillsboost.google/public_profiles/bbb3cfcd-5df4-4662-a493-da652fffd5ca
VMware Certified Professional - Desktop and Mobility 2020
Event: Desktop and Mobility 2020 · VMware · Issued on December 2020
https://www.credly.com/badges/a04fc04d-4ffc-40c6-9522-f4be31ce932d?source=linked_in_profile Administrator DaaS Desktop Management EUC Horizon 7 Mobility Managmenet NEE VMware Horizon Client VMware Workspace Portal vRealize Operations For Horizon vSphere Workforce Mobility
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