# Kunal Sanghvi

> Master of Science in Information Systems Pace University

Location: New York, New York, United States
Profile: https://flows.cv/kunalsanghvi

I’m a Python-focused software engineer experienced in building scalable, reliable backend systems for enterprise and product environments. I specialize in developing production-ready applications and RESTful services using Django, Flask, FastAPI, and modern API design practices.

My work covers the full software development lifecycle—from gathering requirements and designing systems to deployment and production support. I’ve built and integrated APIs, handled authentication and authorization, and worked extensively with structured data using SQL and distributed data pipelines.

I have strong hands-on experience with data engineering and backend processing, including ETL/ELT workflows using Spark, Airflow, Kafka, and relational databases. I focus on writing efficient, maintainable code and optimizing performance for both real-time and batch workloads.

I’ve deployed and supported cloud-native applications across AWS, Azure, and GCP, using Docker and Kubernetes to build scalable microservices. I also contribute to CI/CD pipelines and follow DevOps best practices to ensure stable and repeatable releases.

I enjoy solving complex engineering problems, collaborating with cross-functional teams in Agile environments, and turning business requirements into well-structured technical solutions.

Let’s connect and explore how we can build impactful AI together.

## Work Experience
### Software Engineer - Unique Designs @ Baanyan Software Services, Inc.
Jan 2024 – Present | Secaucus, New Jersey, United States
-Built and scaled AI-driven platforms using LLMs, RAG pipelines, and cloud-native architectures, delivering significant improvements in latency, accuracy, and cost efficiency.

-Led end-to-end system design and delivery across Java/Spring Boot backends, ML pipelines, and React frontends, shipping production-ready solutions at scale.

-Improved performance, security, and observability through model optimization, Kubernetes deployments, and enterprise-grade data governance practices.

-Provided technical leadership and mentorship, owning sprint execution, code reviews, and cross-functional collaboration to align engineering outcomes with business goals.

### Python Developer - Ally Financial @ Baanyan Software Services, Inc.
Jan 2024 – Jan 2024 | New York, United States
Built and optimized Python-based backend services and REST APIs (Django, DRF, Flask) to support financial analytics, risk modeling, and customer data platforms.

Designed scalable data pipelines using Pandas, NumPy, SQL, Spark, and Airflow to ingest, clean, and process large-scale financial datasets.

Partnered with data science teams to productionize machine-learning models (Scikit-learn, PyTorch), improving inference performance for real-time and batch workloads.

Developed NLP workflows using NLTK and spaCy for text analysis and classification in data-driven applications.

Deployed and supported cloud-native applications on AWS and Azure using Docker, Kubernetes, and CI/CD pipelines while following security and compliance best practices.

### Software Engineer @ Tata Consultancy Services
Jan 2021 – Jan 2022
-Developed Java and Spring Boot backend services supporting large-scale credit data processing and analytics platforms.

-Led secure data migration and enrichment workflows using encryption, Airflow, and Elasticsearch on GCP, significantly improving processing efficiency.

-Enhanced search performance and data quality for complex credit profile queries, reducing downstream support tickets and improving analytics reliability.

-Contributed technical leadership in Agile teams, facilitating Scrum ceremonies, resolving blockers, and driving consistent delivery in regulated environments.

### Software Engineer @ Fynd
Jan 2019 – Jan 2021 | Mumbai, Maharashtra, India
Built and scaled backend services using Python, Django, and DRF for an omnichannel e-commerce platform, developing REST APIs for product catalog, inventory, orders, and pricing modules.

Optimized data workflows and performance by writing efficient PostgreSQL/MySQL queries, leveraging Pandas for data validation, and implementing Celery + Redis background tasks, reducing API latency and improving transaction efficiency.

Integrated payment gateways and logistics APIs, applied JWT-based authentication & RBAC, containerized applications with Docker, and ensured production stability through testing, monitoring, and Agile collaboration.


## Education
### MS in Information Systems in Information Technology Project Management
Pace University - Seidenberg School of Computer Science and Information Systems
Jan 2023 – Jan 2024

### Bachelor of Engineering - BE in Computer Systems Networking and Telecommunications
Shah And Anchor Kutchhi Engineering College
Jan 2016 – Jan 2020

### St. Pius X High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/kunalsanghvii

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Source: https://flows.cv/kunalsanghvi
JSON Resume: https://flows.cv/kunalsanghvi/resume.json
Last updated: 2026-03-23