Pratik Garg

Senior Backend Engineer | Capital Markets (Securities Lending & Borrow)

• Core Architecture: Engineered scalable backend microservices using Java 1.8 and Spring Boot, optimizing real-time trade calculations and capital markets data delivery.
• Inventory & Trading Engines: Designed an intraday feed engine for security surplus/deficit logic and integrated an LLM market sentiment pipeline to automate borrowing decisions.
• GenAI Data Pipelines: Deployed a GenAI RAG pipeline with vector embeddings across Kafka/SFTP streams to parse and semantically enrich unstructured compliance documents.
• Diagnostics & CI/CD: Piloted an LLM telemetry tool for automated log analysis that cut legacy technical debt resolution times by 30% while managing production CI/CD.

Responsibilities & Leadership:

• 70% Technical Execution: Drive hands-on backend architecture, implement low-latency data pipelines, and build secure internal microservice integrations with enterprise LLMs.
• 30% Strategic Governance: Partner with management to align engineering delivery with business strategy, manage sprints, and lead cross-functional requirement gathering.

• Core Architecture: Engineered scalable backend microservices using Java 1.8 and Spring Boot, optimizing high-performance ingestion pipelines and real-time data delivery for global operations.
• Data Processing Engine: Built directory listeners and polling microservices via Spring Batch to ingest multi-region XML, CSV, and REST API data from global providers (S&P, MSCI, iShares) into MongoDB.
• Enrichment & Messaging: Formulated logic to enrich raw reference data with Bloomberg/DTCC sources using Java, broadcasting processing events via Kafka streams to down-stream consumer systems and Angular dashboards.
• Code Quality & Optimization: Conducted in-depth assessments of legacy Java infrastructure to deliver reusable packages, decouple monolithic components, and eliminate architectural technical debt.

Responsibilities & Leadership:

• 70% Technical Execution: Drive hands-on technical application architecture, implement low-latency reference data processing frameworks, and manage comprehensive unit, integration, and performance testing phases.
• 30% Team & Stakeholder Governance: Lead a cross-functional team of 10 engineers, spearhead daily agile scrum ceremonies, conduct user requirements analysis, and collaborate directly with business stakeholders.

• Core Architecture: Engineered a high-performance trade calculation engine using Java 1.8, Spring Boot, and Spring Batch to determine real-time security surplus and deficit allocations.
• Data Processing Engine: Built ingestion streams across multi-protocol sources (MQ, Email, Unix SFTP) to continuously process critical Start-of-Day (SOD) and real-time intraday data feeds.
• Enrichment & Messaging: Applied complex financial logic to enrich trade data, broadcasting live processing events via Kafka to update real-time caches and downstream business dashboards.
• Diagnostics & Code Quality: Analyzed legacy infrastructure to deploy architectural patches, utilizing profiling tools to eliminate performance bottlenecks and ensure microsecond stability.

Responsibilities & Execution:

• Technical Delivery: Driven hands-on backend development, managed end-to-end testing phases, and executed automated build pipelines to package stable, client-ready production executables.

• Core Architecture: Engineered an integrated eligibility application using Java 8 and Spring Batch to automate the data collection, processing, and management of FITAP and SNAP benefits for US citizens.
• Workflow Optimization: Designed the backend verification logic for state workers to streamline applicant registration, secure data collection, and automate final benefit issuance.
• Framework Refactoring: Formulated the technical application architecture and coded reusable framework components, minimizing technical debt and improving long-term system maintainability.

Responsibilities & Execution:

• Requirements & Design: Conducted end-to-end requirements analysis to transform complex state compliance guidelines into scalable, modular software solutions using specialized consulting tools.

• Core Architecture: Engineered a robust trade matching and settlement engine utilizing Java 5, Spring IoC, and Spring MVC to extract and store high-volume trade data within a Sybase database.
• Data Transformation & Ingestion: Formatted raw trade entries into SWIFT, XML, and fixed-length flat files for downstream transmission, managing complex bilateral data mapping workflows.
• Regulatory Messaging: Built multi-channel integration streams via MQ and FTP to process and reconcile asynchronous settlement confirmation messages returning from the Japanese government body (JASDEC).

Responsibilities & Execution:

• Software Delivery: Authored clean, production-grade Java code, conducted cross-department design consultations, and closely collaborated with agile team members to resolve critical system defects.