Piyush Sharan

Software Engineer

Menlo Park, California, United States1 yr experience

Key Highlights

Gold Medalist from IIT (BHU) Varanasi
Developed high-performance systems at Tesla and Cisco
Passionate about technology for social good

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and Networking.

Contact

Skills

Core Skills

Distributed SystemsGo (programming Language)Software DevelopmentJavascriptMachine Learning

Other Skills

Apache KafkaReact.jsPython (Programming Language)C++C (Programming Language)Operating SystemsNode.jsBehavior-Driven Development (BDD)Software Development Life Cycle (SDLC)Software TestingSpring BootJavaJUnitGraphQLPHP

About

An optimistic, hard-working and ambitious person always eager to learn new things. Passionate about technology and its impact on society. Strong believer in the power of programming for social good.

Experience

1 yr

Total Experience

1 yr

Average Tenure

Current Experience

Tesla

Software Engineer

Aug 2024 – Dec 2024 · 4 mos · Austin, Texas, United States · On-site

Designed and implemented a scalable NoSQL architecture in Golang, enabling a seamless migration from FoundationDB to MongoDB. Utilized GridFS to optimize storage for large documents, improving data management and long-term maintainability.
Developed a high-performance Kafka consumer to process large volumes of Tesla car orders, reducing stream processing latency by 33% and enhancing workflow automation for improved production efficiency.

Distributed SystemsGo (Programming Language)Apache Kafka

Tiktok

Backend Software Engineer

May 2024 – Aug 2024 · 3 mos · San Jose, California, United States · On-site

Worked with the team to develop and launch a Seller-Incentive Portal for TikTok Shop, building highly scalable and concurrent REST APIs to handle high traffic using Golang, Protobuf, Hertz, Redis, MySQL, and Kafka.
Optimized backend architecture for multiple APIs and worked on the seamless migration of internal operations management services to a company-wide CRM, improving efficiency and reducing manual effort.

Go (Programming Language)Distributed SystemsReact.jsJavaScript

Texas a&m university

Graduate Teaching Assistant

Jan 2024 – May 2024 · 4 mos · College Station, Texas, United States · On-site

Graduate Assistant for Professor Sandeep Kumar for the course CSCE 222 - Discrete Structures for Computing. Responsible for course content creation, grading assignments, and providing feedback to correct students' mistakes.

Cisco

Software Engineer II

Aug 2022 – Aug 2023 · 1 yr · Bengaluru, Karnataka, India

Software Developer in the ASA (Adaptive Security Appliance) Firewall Business Unit at CISCO. Developed a state-of-the-art search algorithm for network traffic lookup on ASA devices. Modified ACL (Access Control List) tree-based lookup tables, reindexed them, and implemented the new design, reducing Search API latency by over 90%. Authored comprehensive documentation and provided training sessions to extended team members. The algorithm is currently undergoing the patent process.

Distributed SystemsSoftware DevelopmentPython (Programming Language)C++C (Programming Language)Operating Systems

Mezami

Software Developer

Dec 2020 – Mar 2021 · 3 mos · Bangalore Urban, Karnataka, India

Engineered and implemented Mezami, an event management platform designed to help users organize and attend social events. Leveraged tools such as React.js, TypeScript, JUnit, and Spring Boot to create a robust and user-friendly application.
Developed reusable React components, significantly reducing code duplication and improving maintainability. Built performant Spring Boot APIs for the proper management of high throughput traffic.

JavaScriptNode.jsBehavior-Driven Development (BDD)React.jsSoftware Development Life Cycle (SDLC)Software Testing+4

Silence laboratories pte. ltd.

Machine Learning Researcher

May 2020 – Jul 2020 · 2 mos · Singapore

Investigated Locomotion Classification using Time-Series Channel State Information (CSI) and geographical data, applying PCA and Fourier Transforms for feature extraction with Python's tsfresh module.
Employed Gaussian Mixture and K-Means Clustering to partition data into clusters, validating the model's adaptability across various datasets.
Contributed to the design of a robust feature set from extensive cellular data, developing and training machine learning models for practical classifier architectures in real-world scenarios.

Python (Programming Language)Machine Learning