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Full Stack Engineer blending AI with real-world solutions.
I create AI-powered applications that address real-world challenges, blending smart technology with intuitive design.
Work Experience
My professional journey as a Full Stack Engineer and Software Developer.
Full Stack Engineer
Responsibilities & Achievements:
- •Projected a 15% revenue increase by developing a Transaction Management System that standardized 100K+ data points across 10K+ properties, optimizing rental leases and maintenance workflows for asset management.
- •Reduced API failures by 60% by using Serverless Stack Toolkit to test Node.js-based AWS Lambda functions pre-deployment and automating the process with GitHub Actions, integrating with Next.js, React v18, and Aurora RDS for seamless data management.
- •Minimized data inconsistencies by 60% by implementing UI-triggered workflows that invoked store procedures, ensuring database version control with Liquibase, and standardizing development environments using Docker.
- •Led the migration from REST to GraphQL, improving API response times by 25% and reducing cloud compute costs by 18%, while implementing CI/CD pipelines to automate deployment and ensure efficient testing.
- •Automated reconciliation workflows, reducing manual effort by 85% for the asset management team, by deploying AWS Glue, SQS, Step Functions, and Python-based ETL to efficiently detect and process recurring lease validation patterns.
Technologies Used:
Software Engineer
Engineered "Beagle" an enterprise Generative AI BI platform integrated with Microsoft Teams and Slack, building TypeScript & React interfaces and architecting Spring Boot services with a custom NLP engine, enabling natural language query resolution and driving $800K in revenue.
Full Stack Product Engineer
Drove $50K+ in first-year revenue by launching a renewable energy startup, managing a 6-member team, and implementing data-driven customer acquisition strategies for scalable solar solutions.
Projects
Explore my latest projects showcasing innovative solutions in AI, web development, and data engineering. Each project demonstrates my technical expertise and problem-solving approach.
Skills
Technologies I specialize in to build solutions that scale and deliver real value.
JavaScript
Expert in modern JavaScript (ES6+) with a focus on asynchronous programming and functional paradigms.
Built dynamic, interactive UIs using React and Node.js in enterprise applications, like 'Beagle' at Decision Point Analytics.
TypeScript
Proficient in TypeScript, leveraging type safety and generics for scalable web apps and reducing runtime errors.
Used in developing enterprise platforms at Decision Point Analytics, ensuring type-safe code and robust app architecture.
Python
Extensive experience in Python, with a focus on data processing, machine learning, and backend development.
Developed machine learning models for real estate analysis at AI Real Estate Financial Analysis using Python and XGBoost.
Java
Proficient in Java, specializing in backend development, multithreading, and Spring Boot for enterprise applications.
Built scalable backend services using Java and Spring Boot for enterprise applications in Decision Point Analytics.
SQL
Advanced SQL knowledge including complex joins, window functions, and query optimization.
Optimized and managed SQL queries for enterprise applications like 'Resume Matcher AI' and 'Beagle' at Avenue One.
Resume
Download my resume to learn more about my education, work experience, and skills.
Nitish Ahuja - Resume.pdf
Full Stack Engineer | Appled AI
Last updated: April 2025
Education
Master of Science, Computer Information Systems
September 2023 – August 2025Northeastern University, Boston, MA
GPA: 3.76/4.0
Key Skills
Languages
JavaScript, TypeScript, Java, Python, Go, SQL
Frameworks
React, Node.js, Next.js, Express, Spring Boot
Databases
PostgreSQL, MySQL, MongoDB, Snowflake
Cloud & DevOps
AWS, Azure, Docker, Kubernetes, Terraform
Contact Me
Have a project in mind or want to discuss potential opportunities? Feel free to reach out!