Resume
Pathik Viramgama
Software engineer focused on AI/ML systems, backend services, data engineering pipelines, and full-stack product builds. Experienced across cloud data platforms, REST APIs, machine learning workflows, computer vision, and production-ready web/mobile applications.
Experience
Database Engineer · California Creative Solutions
- Built end-to-end data engineering pipelines using Snowflake, Databricks, Azure, and SQL, improving processing efficiency by 35%.
- Optimized SQL, stored procedures, SSMS workflows, and Snowflake ETL logic while reducing manual data preparation by 40%.
- Built Power BI and Power Apps solutions for real-time visibility and self-service reporting.
Software Developer · VibeSea
- Designed backend architecture, database schemas, and production APIs for an anti-cheat and proctoring startup.
- Built scalable detection systems using Node.js, Django, DynamoDB, PostgreSQL, and Amazon S3.
- Deployed a Next.js website through Vercel CI/CD, improving load times by 20%.
Software Developer Intern · WorkUp
- Improved Kotlin mobile app reliability and backend integration, reducing crash rates by 30%.
- Implemented caching using Caffeine and MutableMaps, reducing GCP costs by 8%.
- Supported production environments with 99.99% uptime across GCP servers and Docker containers.
Software Developer (ML) · Orail Services
- Developed AI-driven MERN applications and REST APIs, increasing engagement by 20% and purchase conversion by 37%.
- Integrated face recognition using OpenCV and deep learning, reducing login time by 60%.
- Built reverse image search using ResNet101 embeddings, KNN, cosine similarity, FastAPI, and Flutter with 94% accuracy.
ML Intern · Indian Meteorological Department
- Architected LSTM and BiLSTM climate forecasting models achieving 92.6% accuracy.
- Processed 16TB+ of satellite data and integrated multimodal climate models with ISRO collaboration.
- Reduced model latency by 40% and supported beta deployment across North Indian states.
Selected Projects
Self-Correcting Agentic RAG System
- Built a RAG workflow with document grading, query rewriting, retry logic, and grounded generation.
Reverse Image Search
- Engineered a visual search system using TensorFlow ResNet50, OpenAI CLIP, FastAPI, React, and AWS.
Azure Healthcare Lakehouse Pipeline
- Designed a healthcare revenue-cycle data pipeline using ADF, ADLS Gen2, Databricks, Delta Lake, PySpark, and SQL.
Video Sentiment Analysis Model + Website
- Built multimodal AI model workflows and a SaaS-style interface for uploading media and reviewing sentiment results.
Skills
PythonJavaScriptTypeScriptReactNext.js
DjangoFastAPINode.jsSQLSnowflake
DatabricksAzureAWSDockerPower BI
PySparkTensorFlowPyTorchOpenCVLangChain