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Vashishth Goswami

@vashishthgoswami

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I build fintech backend systems, databases, and data-intensive applications.

India

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I built and shipped CardGenius, a full-stack fintech application used by 20+ beta users. I integrated Plaid across 12,000+ financial institutions for real-time transaction ingestion and personalized credit-card recommendations.

As the solo founder and software engineer, I owned the product, backend, PostgreSQL architecture, and schema evolution. I designed a normalized data model for 3,000+ credit-card reward structures and implemented constraints and validation to protect data integrity.

At Silver Touch Technologies, I'm building a resumable, cost-aware OCR pipeline with quality gates, checkpointing, and hash-based sharding. At UIUC FOCAL Lab, I recreated the HarmBench dataset and built classifiers for unsafe model outputs.

I've also built volunteer-matching APIs for a microservices platform and developed Curriculum Crafter, a degree-planning platform with a normalized MySQL schema, stored procedures, triggers, and graph-based prerequisite validation.

Experience

Work history, roles, and key accomplishments

Current

AI Engineering Intern

Current

Silver Touch Technologies Limited

Aug 2026 - Present (2 months)

Built a resumable, cost-aware OCR pipeline that pre-classifies pages and skips OCR on digital pages. Implemented a quality gate for auto-escalation to deep-learning OCR fallback and an evaluation harness for benchmarking.

PyMuPDF Tesseract Surya OCR Python Evaluation Benchmarking

Current

Founder & Software Engineer

Current

CardGenius

Jan 2026 - Present (9 months)

Built and shipped a full-stack fintech application to 20+ beta users, integrating Plaid for real-time transaction ingestion. Designed a normalized PostgreSQL data model for credit-card reward structures and implemented backend validation for data integrity.

PostgreSQL fastAPI Plaid Fintech Fullstack Development Database Design API Development

Research Assistant

UIUC FOCAL Lab

Feb 2026 - Apr 2026 (2 months)

Recreated the HarmBench dataset for evaluating LLM robustness against adversarial prompts. Built classifiers to detect unsafe model outputs across multiple model families.

Machine Learning PyTorch Model Evaluation LLM Dataset Creation

Software Engineer

Saayam For All

Apr 2025 - Feb 2026 (10 months)

Built a volunteer matching API for a microservices platform with filtering and pagination. Implemented session management features including secure sign-out and token invalidation.

API Development Microservices Session Management Pagination Filtering

Education

Degrees, certifications, and relevant coursework

University of Illinois Urbana-Champaign

Bachelor of Science, Computer Science

Grade: 3.54 / 4.00

B.S. in Computer Science with a GPA of 3.54/4.00, completed in December 2024. Coursework includes distributed systems, database systems, data structures, computer architecture, and cryptography.