**Harshit Sheshan**
Open to Relocation
harsith.sheshan@gmail.com | +1 (857) 891-3546 | LinkedIn

### EDUCATION
**Northeastern University**
Boston, US
Master of Science in Computer Science | Sept 2021 - May 2023
Relevant Coursework: Cloud Computing, Computer Networks, Algorithms, Data Structures, Database Management Systems, Design Patterns, Software Engineering, Information Retrieval, Natural Language Processing, Foundations of AI, Machine Learning

**REVA University**
Bengaluru, India
Bachelor of Computer Science | Sept 2016 - Jun 2020

### SKILLS
**Languages:** Python, Java, Go, C/C++, JavaScript
**Technologies:** Web Frameworks (Django, FastAPI, Gin, Spring, Flask, RESTful API), Databases (SQL, MySQL, Postgres, MongoDB, Neo4J, Elasticsearch), Kubernetes, Ansible, Terraform
**Cloud & DevOps:** AWS (EC2, Beanstalk, RDS), Docker, JIRA, Git, Agile, CI/CD (Jenkins, GitHub Actions)
**Testing:** Selenium, PyUnit, JUnit, Jasmine
**Operating Systems & Scripting:** Linux, Shell Scripting

### WORK EXPERIENCE
**Abecedian LLC (Generative AI Venture Incubator)**
San Francisco, CA | Software Engineer | Jun 2023 - Present
- Boosted API response 15x by migrating from Python (FastAPI) to Go (Gin Framework), enhancing scalability.
- Increased system efficiency by 10% with PySpark in Databricks for robust social media data backend.
- Scaled infrastructure with Kubernetes and Docker; streamlined deployments using Ansible and Terraform.
- Created distributed Kafka queues for stateful logging, securing 10% system efficiency gain.
- Achieved 90% testing coverage and automated manual testing with PyTest & Testify in CI/CD pipelines.
- Deployed applications on AWS (EKS, RDS), bolstering reliability and monitoring.

**ADDGENE**
Boston, MA | Backend Software Engineer | May 2022 - Dec 2022
- Led full-stack Django app redesign on Kubernetes, boosting user engagement by 8%.
- Redesigned AWS storage for 1.5M plasmid samples, enhancing data notifications for 5,000 stakeholders.
- Modeled database schemas with geo-sharding for plasmids, complying with local customs laws.
- Developed sales data pipeline on AWS, reducing report generation timelines by 40%.
- Utilized Python, Django, AWS, and Kubernetes for backend solutions, improving project agility.

**IBM**
Bangalore, India | Software Engineer | Sept 2020 - Jul 2021
- Engineered Java APIs with Spring Boot, optimizing mainframe jobs with zIIP processors (10% cost savings).
- Established Apache Flink pipeline for mainframe logging, ensuring zero downtime via real-time alerts.
- Executed resource allocation and low-latency data handling, enhancing operational reliability.

**Sourcebits Technologies**
Bangalore, India | Software Engineering Intern | Jun 2018 - Jul 2018
- Developed Python Flask app on AWS (86% sentiment analysis accuracy using Tweepy and lexicon rules).
- Built scalable data pipeline with Neo4j on AWS, advancing sentiment cluster exploration.

### PROJECTS
**Game Development (Otyugh’s Dungeon)** | Java, Swing, OOP, JUnit Testing
- Achieved 100% test coverage and stability using MVC design and game theory principles.

**Collaborative Paint Application** | C++, Multi-threading, TCP, SDL
- Reduced latency to 100ms for real-time multi-user interaction with integrated chat feature.

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