ABOUTME
Top Skills
I am a Software Engineer with over 5 years of experience building scalable, reliable, and cloud-native systems. Most of my work has focused on Python, Java, React, TypeScript, and Spring Boot, with a growing focus on AI-backed systems, alongside backend engineering and distributed system design. I enjoy learning new tools and frameworks when a problem calls for them, especially in cloud and AI-driven environments.
Over the years, I have had the opportunity to:
- Develop AI/ML and Generative AI systems, ranging from predictive analytics and fraud detection to multi-agent AI workflows
- Design and deploy microservices and distributed systems across Microsoft Azure, AWS, and Google Cloud Platform (GCP)
- Build and automate CI/CD pipelines using Docker, Kubernetes, Terraform, and modern deployment tooling
- Integrate and optimize high-volume financial data pipelines, including work with Bloomberg and Reuters APIs to reduce latency and improve reliability
A few highlights I am proud of:
- Cut portfolio recalculation latency by 70% in a financial analytics platform
- Reduced deployment times by 50% through CI/CD automation and standardized pipelines
- Built end-to-end AI and IoT projects, including a driver safety crash detection system and a multi-agent legal document analysis system
I enjoy solving challenging engineering problems, improving system performance and reliability, and working in Agile teams where thoughtful design and collaboration matter.
Outside of work, I spend time experimenting with new technologies, whether that means exploring agent-based AI systems, refining backend architectures, or building side projects to deepen my understanding of scalable system design.
Education
Syracuse University
Master of Science in Computer Science
Syracuse, NY, USA
Graduated May 2025
GPA: 3.90 / 4.0
NMIMS University
Bachelor of Technology in Computer Engineering
Mumbai, MH, India
Graduated May 2021
GPA: 3.24 / 4.0
Relevant Coursework
Data Structures | Design & Analysis of Algorithms | Software Engineering | Artificial Intelligence | Machine Learning & Algorithms | Applied Natural Language Processing | Internet of Things | Data Warehousing & Mining | Theoritical Computer Science | Principles of Operating Systems | Database Management System | Social Media and Data Mining | Computer Architecture | Computer Networks | Image Processing | Computer Organization
My Skillset
Programming Languages
AI & ML
Frameworks & Libraries
Cloud Platforms
DevOps & CI/CD
Databases & Storage
Testing & Automation
Tools & Project Management
Soft Skills
EXPERIENCE
State Street
Software Engineer, AI Systems
USA
Jan 2025 - Present
May 2021 - Jul 2023
Hexaware Technologies
Software Engineer
India
Cyient
Software Engineer
India
May 2019 - Apr 2021
PROJECTS
Legal Clarity Agent
A privacy-first AI system that analyzes legal documents clause-by-clause using a multi-agent architecture, performing automated clause classification, risk assessment, and plain-English explanations through parallel agent workflows orchestrated with Google ADK and Generative AI.
Technologies Used:
Legal Clarity Agent
A privacy-first AI system that analyzes legal documents clause-by-clause using a multi-agent architecture, performing automated clause classification, risk assessment, and plain-English explanations through parallel agent workflows orchestrated with Google ADK and Generative AI.
Technologies Used:
IoT-Enabled Driver Safety & Crash Detection System
A smart vehicle safety platform using simulated IoT sensors for real-time risk detection, crash monitoring via accelerometers, GPS-based emergency alerts, and driver drowsiness detection.
Technologies Used:
IoT-Enabled Driver Safety & Crash Detection System
A smart vehicle safety platform using simulated IoT sensors for real-time risk detection, crash monitoring via accelerometers, GPS-based emergency alerts, and driver drowsiness detection.
Technologies Used:
Flight Arrival Prediction
A machine learning-based system predicting flight arrivals with high accuracy, deployed as a Flask API to support real-time tracking and improve airline scheduling.
Technologies Used:
Flight Arrival Prediction
A machine learning-based system predicting flight arrivals with high accuracy, deployed as a Flask API to support real-time tracking and improve airline scheduling.
Technologies Used:
RESEARCH
