# Jagadeesh Sunkara > Software Engineer | Driving Digital Transformation in Trading & Private Equity | Modernizing Financial Systems with .NET, Data & AI | Bridging Technology & Finance Location: New York City Metropolitan Area, United States Profile: https://flows.cv/jagadeesh I’m a Software Engineer who loves turning complex financial workflows into clean, automated, and reliable systems. Over the years, I’ve built a career at the crossroads of software engineering, business analysis, and financial technology — helping firms streamline trading, credit, and reporting operations through well-designed, data-driven platforms. At MGG Investment Group, I’m helping modernize the firm’s private-credit and trading stack. When I joined, most processes lived in Excel. I helped design and build scalable .NET-based systems that now handle everything from entity creation to trade lifecycle automation. I’ve integrated platforms like DealCloud and iLevel into a centralized data hub, built microservices for automated reporting, and developed an AI chatbot using OpenAI that allows teams to access deal and portfolio data in real time. Before MGG, I worked at Odessa, engineering and implementing the LeaseWave platform for global financial institutions. I was hands-on with backend development, SQL data migration, API integrations, and automating leasing workflows. That’s where I learned how to design for reliability, accuracy, and scale — all critical in enterprise financial systems. Beyond development, I’ve led and mentored teams, guided projects from design to delivery, and worked closely with traders, analysts, and PMs to ensure technology aligns with business goals. My time at UMBC’s Product Management Club and the bwtech@UMBC Venture Program strengthened my leadership and product mindset — helping me see both the technical and strategic sides of building impactful solutions. I’m driven by challenges that sit between engineering and finance — building systems that optimize trading workflows, improve decision-making, and empower teams with smarter, faster insights. If your firm is looking to modernize its technology stack or build scalable systems that connect data, operations, and decision-making, I’d love to bring my experience bridging engineering and finance to help make that happen. ## Work Experience ### Software Engineer @ MGG Investment Group LP Jan 2025 – Present | New York City Metropolitan Area As a Software Engineer at MGG Investment Group, I lead the modernization of the firm’s private-credit and trading technology stack—transforming legacy Excel workflows into automated, data-driven applications. I design and deploy scalable systems that streamline deal and trade operations, improve data accuracy, and enable real-time reporting and analytics. Key Achievements: • Digital Transformation: Re-engineered Excel-based workflows into a centralized .NET platform using C# and SQL Server, unifying entities, securities, borrowers, and deal tracking into a full lifecycle management system. • Application Development: Build and maintain high-performance tools for private-credit and trading workflows, ensuring reliability, scalability, and speed for high-volume operations. • Automation & Architecture: Designed a microservices-based framework with a cron-driven scheduling and notification engine to automate FTP transfers, trade settlements, and reporting—reducing manual effort by 70%. • Trading & PnL Automation: Developed pipelines to generate and reconcile trade files, detect breaks, and alert users in real time. Automated daily PnL and exposure reporting, improving turnaround by 80%. • Data Hub Integration: Integrated with DealCloud and iLevel (borrower and portfolio analytics) via REST APIs to synchronize data and enable unified analytics. • AI Chatbot: Co-developed an AI-powered chatbot using OpenAI that allows users to query the data hub in natural language and instantly access portfolio, investor, and deal information. • Reporting & Optimization: Automated reporting pipelines and Power BI dashboards while tuning SQL queries and services for performance and scalability. • Leadership & Collaboration: Partner with traders, portfolio managers, and accountants to align technology with business goals. Mentor junior developers, conduct code reviews, and contribute to architectural decisions to ensure code quality, performance, and long-term maintainability. ### Project Management Fellow member @ bwtech@UMBC Research and Technology Park Jan 2024 – Jan 2025 | Baltimore, Maryland, United States As a Fellow in the Maryland New Venture Program (bwtech), I collaborated with technologists and entrepreneurs to develop market-aligned products, boosting team productivity by 20%. I facilitated weekly virtual team meetings, keeping projects on track with clear agendas and deadlines. I led customer discovery efforts, conducted market research, and contributed to detailed pitch decks covering pricing, licensing strategies, and implementation plans. Through mentorship, I enhanced my entrepreneurial skills in finance and marketing, overcoming challenges and identifying opportunities to drive project success. ### Vice President and Business Head @ UMBC Product Management Club Jan 2023 – Jan 2024 | Baltimore, Maryland, United States In my role, I lead initiatives to drive the club’s growth and success. I actively acquire sponsors, ensuring strong partnerships that exceed expectations. I manage the club’s budget, plan impactful events, and help members utilize personal development funds to foster growth. I build and maintain relationships with key stakeholders, including speakers, judges, and university departments. By collaborating with various teams, I optimize budget management, secure funding for business initiatives, and coordinate resources to strengthen partnerships and drive member engagement. ### Senior Software Engineer @ Odessa Jan 2021 – Jan 2023 | Bengaluru, Karnataka, India As a Software Engineer, I was actively involved in the end-to-end development and implementation of the LeaseWave platform for global financial clients. My role focused on backend engineering, data migration, API integration, and system optimization—ensuring reliable, automated, and scalable leasing solutions across multiple environments. Key Contributions: • Platform Development: Designed, configured, and deployed the LeaseWave platform across Dev, Test, and Production environments—building reusable components and automation scripts to streamline setup and delivery. • Backend Engineering: Developed and optimized stored procedures, SQL queries, and validation scripts to support batch jobs, lease schedules, depreciation logic, tax calculations, and end-of-term workflows. • Data Migration & Validation: Implemented migration frameworks by defining mapping schemas between legacy databases and Odessa data models; validated data integrity through reconciliation scripts and rule-based comparisons. • Integration Development: Collaborated on building REST APIs to integrate LeaseWave with ERP, CRM, and payment gateways—improving interoperability and reducing manual interventions. • System Upgrades & Automation: Contributed to LeaseWave version upgrades by analyzing release changes, automating regression tests, and validating backward compatibility of core modules. • Testing & Issue Resolution: Designed and executed functional and regression test cases, led UAT sessions, and resolved production issues—achieving a 95% reduction in post-release defects. • Documentation & Collaboration: Authored BRDs, FRDs, and user stories; built technical process flows in Visio; worked closely with PMO, QA, and DevOps teams in Agile sprints to ensure smooth feature delivery and environment stability. • Production Support: Monitored live batch processing, fixed data discrepancies, and implemented scripts for automated error handling and reporting during post-deployment stabilization. ### Business Analyst @ Odessa Jan 2019 – Jan 2021 | Bengaluru, Karnataka, India • Collaborated with executive leadership and cross-functional teams to develop and implement strategic account plans, identifying new revenue opportunities and driving operational efficiencies through data analysis and process optimization. • Elicited and translated business requirements into actionable system functionalities, working closely with design, development, and testing teams, resulting in a 30% increase in project completion efficiency and a 20% reduction in delivery timelines. • Managed enterprise accounts by overseeing multiple workstreams, ensuring alignment between business goals and technical solutions, and improving client satisfaction and retention. • Optimized resource allocation and project planning, using advanced tools to maximize resource utilization, reduce risks, and improve project efficiency by 15%, while decreasing project delays by 20%. • Led cross-functional collaboration in agile environments, facilitating communication between business, technical, and QA teams, increasing team productivity by 25% and ensuring timely, on-budget project delivery. • Spearheaded software implementations and system improvements, boosting system efficiency by 20%, optimizing client/server architectures, and ensuring seamless integration between applications and databases. • Led comprehensive testing efforts, designing detailed test plans and automated scripts, increasing testing efficiency by 25%, reducing post-release issues by 20%, and ensuring quality control throughout the process. • Configured the Odessa platform for 10+ clients, applying accounting expertise to tailor workflows for specific financial reporting and accounting needs, enhancing reporting accuracy and compliance. • Served as the client advocate, managing technical requests and issues, reducing issue resolution time by 25%, and maintaining strong relationships with key stakeholders. ### Data Manager @ Lovely Professional University (LPU) Jan 2018 – Jan 2019 Supervises the organization's data to ensure it is properly organized, stored, and secured, facilitating its use for marketing analysis. ### Mathematics Tutor @ Lovely Professional University (LPU) Jan 2019 – Jan 2019 | Jalandhar, Punjab, India ### Data Analyst @ Neta App Jan 2018 – Jan 2018 | Phagwara, Punjab, India Collected data from Twitter accounts, managed it in the cloud, and performed data analysis. ## Education ### Master's degree in Data Science University of Maryland Baltimore County Jan 2023 – Jan 2025 ### Bachelor of Technology - BTech in Computer Science Lovely Professional University (LPU) Jan 2016 – Jan 2020 ## Contact & Social - LinkedIn: https://linkedin.com/in/jagadeesh-sunkara --- Source: https://flows.cv/jagadeesh JSON Resume: https://flows.cv/jagadeesh/resume.json Last updated: 2026-04-01