I am a Software Engineer Analyst / Full Stack Developer focused on AI/LLM automation and quantitative finance analytics. I build production-grade systems that turn structured and unstructured data into pricing signals, risk metrics, and decision support for trading and investment teams. I work across backend services, data pipelines, and modern web applications while integrating agentic LLM workflows (Claude/GPT), RAG, and eval-driven guardrails to reduce manual research and minimize hallucinations.

DARPAN SAKHALA

I am a Software Engineer Analyst / Full Stack Developer focused on AI/LLM automation and quantitative finance analytics. I build production-grade systems that turn structured and unstructured data into pricing signals, risk metrics, and decision support for trading and investment teams. I work across backend services, data pipelines, and modern web applications while integrating agentic LLM workflows (Claude/GPT), RAG, and eval-driven guardrails to reduce manual research and minimize hallucinations.

Available to hire

I am a Software Engineer Analyst / Full Stack Developer focused on AI/LLM automation and quantitative finance analytics. I build production-grade systems that turn structured and unstructured data into pricing signals, risk metrics, and decision support for trading and investment teams.

I work across backend services, data pipelines, and modern web applications while integrating agentic LLM workflows (Claude/GPT), RAG, and eval-driven guardrails to reduce manual research and minimize hallucinations.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
See more

Language

English
Advanced

Work Experience

Software Engineer Analyst at VWH Capital Management LP
August 1, 2025 - Present
Engineered ETL pipelines and Python/SQL analytics to process distressed-credit and capital-markets datasets, converting fixed-income positions into pricing signals, relative-value insights, and risk metrics for senior traders and stakeholders. Optimized SQL execution across 5+ trading pipelines with composite indexing and Redis caching, enabling sub-second Tableau dashboards. Built agentic LLM workflows using Claude and GPT APIs with structured outputs, prompt versioning, and LLM evals to automate financial-spec validation, reducing manual research by ~35% while mitigating hallucinations with guardrails. Developed FastAPI services and automation utilities for standardized market-data ingestion, exception handling, and downstream reporting; integrated Kafka for reliable time-sensitive updates.
Full Stack Developer at CNO Financial Group
July 1, 2024 - July 1, 2025
Modernized policy administration by decomposing legacy monolithic modules into Python/Django microservices, improving scalability for policy issuance, renewal, endorsement, and customer-service operations. Enhanced Angular/TypeScript policy screens for renewals and endorsements, reducing manual effort by 15%; redesigned MongoDB indexes and aggregation pipelines, cutting API response times by 50%. Implemented RabbitMQ-based asynchronous processing for policy endorsement requests and WebSocket-driven event notifications for real-time status changes, increasing throughput and visibility. Configured Jenkins CI/CD and Kubernetes deployments to automate validation, container rollout, and environment promotion, improving deployment consistency and application availability.
Software Engineer at Deloitte India
January 1, 2022 - July 1, 2023
Engineered RESTful APIs with Django REST Framework to support job posting, candidate applications, and employer management, enabling the platform to process 10,000+ monthly job applications. Automated resume data extraction using spaCy NLP for entity extraction and rule-based processing, reducing manual screening by 40% and improving consistency of candidate profile creation. Modeled relational database schemas with SQLAlchemy and MySQL and integrated AWS S3 document storage for secure resume uploads. Built OAuth2-based authentication and RBAC; established PyTest unit and integration test coverage that reduced production issues by 35% and improved release confidence.

Education

Master of Science in Computer Science at Indiana University Bloomington
January 11, 2030 - June 29, 2026
Bachelor of Computer Engineering at Savitribai Phule Pune University
January 11, 2030 - June 29, 2026
Master of Science in Computer Science at Indiana University Bloomington
January 11, 2030 - July 13, 2026
Bachelor of Computer Engineering at Savitribai Phule Pune University
January 11, 2030 - July 13, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Financial Services, Professional Services, Education