Harshini Venkataraman

Software Engineer

San Jose, California, United States4 yrs 2 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Developed robust APIs enhancing user engagement.
Automated CI/CD pipeline processes at Barclays.
Achieved 84% F1 score in forest fire detection project.

Stackforce AI infers this person is a Software Engineer specializing in SaaS and Data Engineering with a focus on automation and API development.

Contact

Skills

Core Skills

Computer ScienceAwsPythonJavascriptSql

Other Skills

AlgorithmsContainerizationAmazon Web Services (AWS)Docker ProductsOpenAPI Specification (OAS)REST APIsPostmanFastAPIMongoDBAWS SESUnixFlaskAbinitioSeleniumYOLOv3

About

📍SWE @ Meta 🎓Graduated from UC Santa Cruz with a masters in Computer Science. 💼 Interned at Cisco as a Full Stack Intern, as a part of Outshift by Cisco, worked on developing API wrappers for "Kosha", where users can access and manipulate API endpoints and work conveniently with legacy codes. 👩🏻‍💻Worked as a Developer at Barclays for about a year, where I was a part of the innovation team. I used Python, Flask, and Javascript to automate the document creation tasks in the CI/CD pipeline process. I've also worked as an ETL developer for Corporate Data Services, where I used Abinitio and Unix for Data transformation and Migration. 🧠 Passionate about using technology to create products that create an impact. I enjoy software and web development and love innovating and collaborating with my team. I care about building scalable systems with high throughput at an organization that fosters my skills and gives me space to grow. 📩Drop me an email at harshini.venkataraman@gmail.com if you wanna get in touch!

Experience

4 yrs 2 mos

Total Experience

1 yr

Average Tenure

1 yr 11 mos

Current Experience

Cisco

Technical Intern II

Jun 2023 – Sep 2023 · 3 mos · San Jose, California, United States · Hybrid

Developed robust API wrappers for “Kosha” with 50+ regular user, by authenticating users through OAuth, enabling interaction with RESTful APIs and allowing users to access, manipulate and create their own API endpoints.
Created a comprehensive end-to-end API with FastAPI to enhance MongoDB functionality, featuring 18 endpoints for improved query construction and easy data manipulation.
Redesigned a dynamic notification wrapper that increased user engagement by providing a weekly digest of Kosha updates.
Integrated AWS SES for prompt and reliable notifications, achieving a 60% increase in email automation.

ContainerizationAmazon Web Services (AWS)Docker ProductsAlgorithmsAWSPython+3

University of california, santa cruz

Teaching Assistant

Sep 2022 – Jun 2024 · 1 yr 9 mos · Santa Cruz, California, United States

Teaching Assistant for CSE30 - Programming Abstraction: Python
Fall 2022
Winter 2023
Spring 2023
Fall 2023
Winter 2024
Teaching Assistant for CSE115A - Intro to Software Engineering
Spring 2024

AlgorithmsComputer Science

Barclays

Developer

Aug 2021 – Jul 2022 · 11 mos · Chennai, Tamil Nadu, India

Project Nebula (Javascript, Flask, Python, SQL, Git)
Worked on automating the document creation tasks used in the CI/CD pipeline process.
Designed the reports tab which displayed user statistics in the form on interactive graphs (Chart.js); Wrote 3000+ lines of code after collaborating and outlining the requirements from different teams.
Developed 8 RESTful APIs and wrote optimized SQL queries that reduced API response time by 60%. Gained around 200 regular users and used by 30+ teams.
iPortal (Unix, Putty, Abinitio, SQL)
ETL developer as a part of Corporate Data Services (CDS)
Extracted around 100GB of data from Oracle, changed the data layout and loaded it to Teradata.
Monitored and oversaw the testing, pre-production and production stages of the code changes.
EBICS (Unix, Putty, Abinitio, SQL)
Added 33 new tables while migrating EBICS application from one platform to another using Abinitio.
Created the documentation required for CI/CD pipeline process and Monitored the testing, pre-production and production stages of the code changes.

SQLAlgorithmsJavaScriptPythonUnix

Wipro

Computer Vision Intern

Jun 2020 – Jul 2020 · 1 mo · Chennai, Tamil Nadu, India

Worked as part of the Forest Fire detection and damage prediction project.
◦ Data Collection and Pre-processing: Used Python Selenium library utilised with Chrome web-driver to extract 1000+ images of fire in a forest(or forest-like) environment. Verified all the images to avoid data redundancy. Utilised LabelImg to draw box annotations for fire region localisation.
◦ Developed a two-step model for classification and localisation. Used VGG16 for classification followed by YOLOv3 for localisation, to reduce false alarm rates.
◦ Achieved an F1 score of 84% on the test dataset. Overcame flickering prediction problem by rolling prediction averaging with a specified queue size. Used localisation region to predict the degree of damage.
◦ Achieved 30% cost reduction comparing the product to real-time forest fire detection systems.
◦ Demonstrated project to a distinctive member of technical staff and received appreciation.

Python