Hi, I’m Abhishek Deshpande 👋
I’m a passionate Software Engineer with experience in building scalable web applications, machine learning models, and REST APIs. I enjoy creating solutions that solve real-world problems using a combination of data analysis, cloud technologies, and modern development practices.
Skills 🌟
Here’s what I bring to the table:
| Category | Technologies/Skills |
|---|---|
| Programming | Python, SQL, JavaScript, TypeScript, HTML/CSS |
| Web Development | React, Next.js, Node.js, Express, REST APIs |
| Data Analysis | Numpy, Pandas, Power BI, Excel |
| Cloud & DevOps | Docker, AWS, Firebase, Linux, CI/CD |
| Databases | PostgreSQL, MSSQL, MongoDB |
| Tooling & Testing | Git, Pytest |
| Machine Learning | Deep Learning, Transfer Learning, OpenCV, Reinforcement Learning |
| AI | LangChain, MCP (Model Context Protocol), RAG (Retrieval-Augmented Generation) |
| Others | Agile, SDLC (Software Development Life Cycle), Bash Scripting |
Work Experience 💼
Software Development Engineer Intern
Amazon (May 2025 – Aug 2025) — Seattle, USA
- Automated AWS SES provisioning for QuickSight across regions, cutting setup time from 4–5 days to under 1 day and reducing manual effort by ~80%.
- Enabled cross-region email notifications via automated domain verification, identities, and SNS/Lambda for bounces/complaints; eliminated delivery failures in target regions.
- Drove design-to-prod execution with CDK-based, least-privilege IaC; validated in sandbox and shipped via internal CI/CD.
- Migrated internal service gateway proxies (AppService → Brazil Config) and refactored APIs to modern patterns.
- Improved monitoring with region-aware CDK alarms, increasing signal quality and incident detection.
Data Analyst
Ganit Inc (August 2022 – March 2023) - India
- Built RESTful APIs using Python and machine learning models to extract metadata from medical prescriptions with 92% accuracy
- Designed and maintained Power BI dashboards for tracking over 20 KPIs, improving operational efficiency by 22% and driving an 18% revenue increase annually
- Automated workflows using Bash scripting, Python, and AWS EC2 to refresh dashboards dynamically
- Managed code reviews and pull requests in Git to ensure high-quality, maintainable code
Data Analyst Intern
Ganit Inc (February 2022 – July 2022) - India
- Reduced fraud analytics processing time by 40% through optimized data workflows using Pandas and Numpy
- Developed Python scripts to link related emails using regex, improving data linkage accuracy by 25%
- Automated error handling pipelines with Python, reducing manual investigation time by 50%
- Performed stress testing on an ELK-stack-based front-end tool to ensure robust performance
Projects 🚀
| Project | Technologies | Description |
|---|---|---|
| Notion Notes App | Flask, Python, Nix, Docker, DigitalOcean, Traefik, Notion API, OpenAI API | A containerized app integrated with Notion API to manage notes using Siri Shortcuts, deployed on DigitalOcean. |
| Deep Q-Learning Snake Game | Python, PyTorch, Reinforcement Learning | An AI-based Snake game with Deep Q-Learning and a GUI to visualize performance in real-time. |
| Cotton Disease Classification | Python, TensorFlow, Transfer Learning | A transfer learning model achieving 96%-97% accuracy for cotton disease classification using CNNs. |
Open Source Contributions 🌐
| Project | Contribution |
|---|---|
| tldr-pages (51.8k+ GitHub stars) | Actively contribute to the repository by resolving issues and adding/improving command pages such as chat, lazygit, and speedtest. View Contributions |
Education 🎓
Master’s of Science in Computer Science
Arizona State University
- Relavent Coursework:
Machine Learning Acceleration, Information Assurance and Security, Operating Systems, Cloud Computing, Data Processing
Bachelor’s of Technology in Aeronautical Engineering
Manipal Institute of Technology
- Relevant Coursework:
Python, C, Statistics, Data Structures, Web Development
Contact Me 📬
