Hi, I'm
Aditya Pise
|
Software Engineer passionate about building intelligent, scalable, and cloud-native systems that combine AI and backend engineering to create real-world impact.
About Me
I'm a Software Engineer passionate about designing reliable, efficient, and user-focused systems that merge AI innovation with solid engineering principles.
I specialize in backend development, cloud architecture, and AI integration, turning complex ideas into production-ready solutions. From building serverless platforms on AWS to creating AI-powered applications, I aim to develop systems that are both intelligent and practical.
I bring a product-focused mindset to every project, combining problem-solving, collaboration, and adaptability to turn ideas into impactful products through clear communication, structured execution, and a continuous learning-driven approach.
Outside of work, I write technical articles, explore new frameworks, and keep learning about system design, scalability, and applied AI to evolve as an engineer.
What I Do
- ▹Build reliable and scalable backend systems and microservices
 - ▹Design and integrate intelligent, AI-powered applications
 - ▹Develop and maintain cloud architectures on AWS
 - ▹Create intuitive frontend experiences with modern frameworks
 - ▹Write technical content that simplifies complex engineering ideas
 
Experience Timeline
Technologies
Key Responsibilities
- ▹Assisted in teaching System Programming in C and Unix to 20+ students
 - ▹Helped students debug and optimize code for programming assignments
 - ▹Conducted code reviews and supported grading and evaluation
 - ▹Collaborated with faculty to improve course materials and automate testing
 - ▹Guided students in strengthening problem-solving and programming fundamentals
 
Technologies
Key Responsibilities
- ▹Delivered RAG-based AI solutions for enterprise clients using Django and Azure AI
 - ▹Built a Python-based code migration tool using LLMs to accelerate development
 - ▹Created AI-assisted IDE tools to improve developer efficiency and productivity
 - ▹Designed model evaluation pipelines for LLM benchmarking and optimization
 - ▹Presented GenAI proof-of-concepts and demos to enterprise clients
 
Technologies
Key Responsibilities
- ▹Developed high-performance REST APIs using Java and Spring Boot
 - ▹Optimized Oracle SQL queries to improve backend performance
 - ▹Built and maintained event-driven microservices using Kafka and Redis
 - ▹Implemented unit testing with JUnit and Mockito for reliability
 - ▹Awarded Top Talent FY23 for exceptional performance and innovation
 
Technologies
Key Responsibilities
- ▹Built backend modules using Java and Spring Boot
 - ▹Developed REST APIs for application data operations
 - ▹Designed database schemas and queries in MySQL
 - ▹Created web components using HTML and CSS
 - ▹Supported debugging and testing of core features
 
Education
Bachelor of Engineering
Computer Engineering
Savitribai Phule Pune University
Aug 2018 - Jun 2022 • Pune, India
Highlights
- ▹Graduated with Honors in Artificial Intelligence and Machine Learning
 - ▹Data Acquisition Lead for SAE BAJA Team, focusing on data collection and performance analysis
 - ▹Coursework: Data Structures, Operating Systems, Database Management, Computer Networks
 
Projects
Aug 2024
A serverless job tracking platform with a Chrome extension and AWS-powered dashboard to manage job applications.
Jul 2024
An AI companion that remembers, reasons, and responds—bringing emotional intelligence to chat interactions.
May 2024
A smart fitness tracking platform that helps users monitor workouts, nutrition, and daily progress with AI insights.
May 2024
AI-powered expense tracker that extracts and categorizes receipts automatically with OCR and LLMs.
Dec 2023
Full-stack e-commerce application with authentication, product management, and integrated payment gateways.
Mar 2024
A multi-agent system that reads, summarizes, and synthesizes academic papers using LLMs.
Articles & Writing

Part 5: Monitoring and Observability with Amazon CloudWatch
Track performance and troubleshoot efficiently using Amazon CloudWatch metrics, logs, and alarms for full observability.

Part 4: Hosting App with Amazon S3 and CloudFront
Deploy and host modern web applications using Amazon S3 and CloudFront for global content delivery.
Part 3: Building Secure APIs with Amazon API Gateway and Cognito
Implement secure, scalable APIs with authentication using Amazon API Gateway and Cognito.

Part 2: Amazon DynamoDB Deep Dive
Learn DynamoDB data modeling, indexing, and scalability with a hands-on demo powering backend queries efficiently.

Part 1: AWS Lambda Deep Dive
Explore how AWS Lambda works, its evolution, and how to deploy serverless functions in real-world applications.

Learning AWS the Practical Way: Deploy, Debug, Deliver
Series overview and roadmap for building a simple app end-to-end on AWS.
Part 3: Advanced Git Internals and Best Practices
Explore how Git stores data internally, handles histories, and learn best practices for team collaboration and version control.
Part 2: Understanding Git Commands Deeply
Deep dive into core Git commands with practical explanations and real-world examples to master branching and merging.

Part 1: Mastering Git — What, Why, and How It Works
Understand the fundamentals of Git, how it tracks versions, and why developers rely on it for collaboration and control.

Part 5: Monitoring and Observability with Amazon CloudWatch
Track performance and troubleshoot efficiently using Amazon CloudWatch metrics, logs, and alarms for full observability.

Part 4: Hosting App with Amazon S3 and CloudFront
Deploy and host modern web applications using Amazon S3 and CloudFront for global content delivery.
Part 3: Building Secure APIs with Amazon API Gateway and Cognito
Implement secure, scalable APIs with authentication using Amazon API Gateway and Cognito.

Part 2: Amazon DynamoDB Deep Dive
Learn DynamoDB data modeling, indexing, and scalability with a hands-on demo powering backend queries efficiently.

Part 1: AWS Lambda Deep Dive
Explore how AWS Lambda works, its evolution, and how to deploy serverless functions in real-world applications.

Learning AWS the Practical Way: Deploy, Debug, Deliver
Series overview and roadmap for building a simple app end-to-end on AWS.
Part 3: Advanced Git Internals and Best Practices
Explore how Git stores data internally, handles histories, and learn best practices for team collaboration and version control.
Part 2: Understanding Git Commands Deeply
Deep dive into core Git commands with practical explanations and real-world examples to master branching and merging.

Part 1: Mastering Git — What, Why, and How It Works
Understand the fundamentals of Git, how it tracks versions, and why developers rely on it for collaboration and control.
Get In Touch
Let's Connect
Have a project idea, collaboration, or opportunity in mind? Feel free to reach out. I'm always open to discussing software, AI, and innovative tech solutions.
adityapise.0711@gmail.com
Location
Bloomington, IN, USA
Status
Open to new opportunities


