Tushar Kansal
@tusharkansal
Software Engineer II building scalable distributed systems for high-reliability financial platforms.
What I'm looking for
I’m a Software Engineer II with 3+ years of experience designing, building, and operating scalable distributed systems in production. I bring a strong foundation in algorithms, data structures, and object-oriented design, and I’m passionate about writing clean, well-tested code that improves scalability and operational excellence.
In my current role, I’ve built distributed backend services for a customer-facing financial platform, replacing a manual workflow with an online application supporting 35K+ applications and $6.27B in loan volume. I developed REST APIs with Java and Spring Boot, implemented event-driven processing with Kafka and the Outbox pattern across 20+ microservices, and delivered features that reduced loan approval cycle time from 25–30 days to 7 days.
I also strengthen reliability and performance through query optimization and observability, including reducing database query latency from ~5s to ~0.5s. Previously, I built AWS-deployed backend systems in Go for healthcare use cases, created a secure HL7 transmission agent that reduced operational costs by 40%, and supported standardized deployments with Docker, Kubernetes, and Terraform. I’ve also worked as a Research Assistant building Python ML/NLP pipelines and applying statistical validation to physiological data.
Experience
Work history, roles, and key accomplishments
Software Engineer II
Citizens Financial Group
Aug 2023 - Present (2 years 9 months)
Built distributed backend services for a customer-facing digital HELOC platform supporting 35K+ applications and $6.27B loan volume. Delivered Kafka/Outbox-based event processing across 20+ microservices, reduced loan approval from 25–30 days to 7 days, and cut database query latency from ~5s to ~0.5s.
Software Engineer
TeleTracking Technologies Inc.
Aug 2022 - Apr 2023 (8 months)
Developed backend services and a secure HL7 data transmission agent for distributed healthcare systems on AWS. Built deployment tooling for AWS Lambda using Docker, Kubernetes, and Terraform, reducing release cycles by ~30% and operational costs by 40%.
Research Assistant
University of Pittsburgh
Aug 2020 - Apr 2022 (1 year 8 months)
Built Python machine learning pipelines using NLP techniques to analyze physiological data. Applied machine learning models and statistical validation to support research analysis.
Education
Degrees, certifications, and relevant coursework
University of Pittsburgh
Master of Science, Intelligent Systems
2020 - 2022
M.S. in Intelligent Systems with coursework including Machine Learning, Generative AI, Computer Vision, Natural Language Processing, and Databases.
University of Petroleum and Energy Studies
Bachelor of Technology, Computer Science
2016 - 2020
B.Tech in Computer Science with coursework including Algorithms, Data Structures, Operating Systems, and DBMS.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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