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Full-Stack Engineer for Financial Systems

Location:
Boston, MA
Posted:
December 16, 2025

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Resume:

Boston, MA https://www.linkedin.com/in/pmakre/ PARTH (+1)857-308-AKRE 9948 *****.****@*******.*** GitHub Portfolio PROFESSIONAL SUMMARY

Full Stack Software Engineer with 3+ years developing investment-grade systems using C#, ASP.NET, Python, and SQL Server, delivering automation that accelerates portfolio workflows and reduces manual financial processing across enterprise environments. WORK EXPERIENCE

Software Engineer - Client Project, VIS Global Inc. April 2025 - Aug 2025

● Modernized key middle-office style services by reducing data processing time from 4 minutes to under 60 seconds, using optimized C#, ASP.NET, and PostgreSQL service paths for faster investment decision support.

● Increased the reliability of batch-style jobs by eliminating 50+ recurring nightly failures, strengthening downstream analytics relied on by financial teams.

● Lifted reporting accuracy by 30,000+ corrected records per cycle through reconciliation-safe API refactoring and schema-level validation patterns.

● Reduced operational cost by 22% through improved query efficiency, load balancing, and safer retry logic across microservices. Software Development Intern, Amie May 2024 - Dec 2024

● Improved internal financial-style workflow execution by 50% using Python automation for data preparation and scenario evaluation.

● Reduced defect counts by 300+ per month through stricter API contracts and fault-tolerant TypeScript and Node.js logic in user-facing modules.

● Cut review and approval cycle time by 40% via enhanced data-fetch patterns, caching, and robust state management in React.

● Boosted platform adoption to 300+ active users by redesigning role-based flows that mirrored enterprise approval and training systems. Technical Research Assistant, University of Massachusetts Sep 2023 - Jan 2024

● Optimized high-frequency simulation logic in C++ and C#, raising system frame stability from 42 FPS to 60 FPS, mirroring performance-critical compute used in financial modeling engines. Software Engineer II, Capgemini July 2022 - Jan 2023

● Reduced system load and improved trade-like transaction handling by 2.5 using optimized backend pipelines in C#, and .NET.

● Prevented $40K+ annual loss exposure by enforcing strict validation, error-containment patterns, and hardened cloud boundaries for financial data services.

● Lowered infrastructure cost by $20K yearly through container optimization and tightening compute/resource allocation in Docker environments.

● Mitigated reconciliation defects by 35% with automated test flows aligned with accounting-grade verification steps.

-Software Engineer, Capgemini June 2021 - July 2022

● Raised processing throughput by 35% for enterprise users across complex financial-style workflows using C#, Java, Spring, Angular, and SQL.

● Cut API latency by 3 by rewriting data-intensive logic paths and restructuring caching layers for predictable performance.

● Reduced system defects by 70% through reusable architectures, improved exception handling, and stronger API contracts.

● Eliminated 60+ data integrity errors per release through optimized schemas and safer transaction boundaries in SQL Server-like environments.

PROJECTS

Hackedemics.ai : Hours: 25 (Winner, Marvel AI Hackathon)

● Built an AI math tutoring platform using Streamlit, Python, and LLM Agents Gemini AI, with features such as an AI chatbot, math visualization, quiz generator, and real-time progress tracking, enhancing engagement and personalization for users. Augmented Reality Assistant for Astronauts : Hours: 80

● Developed an AR application with Unity, C++, and MRTK for Hololens 2, integrating mapping functionalities using ArcGIS Esri API. Careerfit.ai : Hours: 20

● Designed an AI-driven recommendation system using Python, Flask, and React, achieving 98.7% accuracy. SKILLS

Languages: C#, Python, Java, TypeScript, JavaScript, SQL Frameworks: ASP.NET MVC, Spring Boot, React, Node.js, REST APIs, microservices Databases: SQL Server, PostgreSQL, MySQL, relational modeling, ETL patterns, SSIS familiarity Cloud & DevOps: AWS, CI/CD, version control, CA AutoSys, batch processing, monitoring Financial/Investment Systems: middle-office workflows, reconciliation logic, batch systems, portfolio-support tools, vendor integrations EDUCATION

Master of Science, Computer Science. Jan 2023 - Dec 2024 University of Massachusetts, Boston

Bachelor of Technology, Electronics & Computer Engineering. Aug 2016 - Oct 2020 Dr. Babasaheb Ambedkar Technological University



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