SATVIK KATOCH

Software Engineer

Bengaluru, Karnataka $12/hr Work from office Full-time 1+ yrs exp 78 · Very Good

About

No bio added yet

Skills & Expertise (32)

Typescript Intermediate

8.0/10

Years Exp

Python Intermediate

7.5/10

Years Exp

Java Intermediate

7.0/10

Years Exp

React.js Intermediate

6.5/10

Years Exp

Data Structures Intermediate

6.0/10

Years Exp

Docker Intermediate

6.0/10

Years Exp

Algorithms Intermediate

6.0/10

Years Exp

SQL Intermediate

6.0/10

Years Exp

DBMS OOPs LINUX GitHub Git C++ AWS (RDS AWS (S3 AWS (EC2 DynamoDB Redis MongoDb Postgresql MySql NumPy Pandas scikit-learn Keras TensorFlow Hono Express.js Node.js Spring Boot JavaScript

Work Experience

Software Engineer

CubeHq

Jul 2025 - Jul 2026

Migrated the SEO reporting dashboard from Python/Django to a TypeScript and Hono architecture deployed on Cloudflare Workers, substantially improving global edge response times and reducing system overhead. Engineered a TypeScript Model Context Protocol (MCP) server integrating the Bing Ads API for natural language querying via Claude Desktop/Web; managed secure Google/Microsoft OAuth flows using DynamoDB and Dynamoose ORM. Architected a new Meta Ads reporting pipeline processing 1,000+ weekly client reports; orchestrated EC2, RDS, and AWS EventBridge for cron-based email delivery, completely secured via Meta-OAuth integration. Built an automated workspace state-tracking mechanism on EC2, utilizing AWS S3 to capture and compare initial and final monthly state configurations to generate streamlined delta reports. Optimized backend latency by replacing iterative database queries with Django ORM bulk inserts and resolved critical frontend rendering issues, improving overall system uptime and securing a $500,000+ annual revenue stream.

Software Engineering Intern

V-Mart

Feb 2025 - Jun 2025

Migrated the Internal Content Engine (ICE) from Java 8 to 21 and overhauled Maven dependencies, ensuring 100% service uptime for 80+ daily active users. Built an AI tagging pipeline using Java, Gemini 1.5 Flash, and OpenCV pre-processing; boosted daily image approval rates by 50% from 600 to 900+ images. Constructed a SheetJS-driven batch processing pipeline to automate the ingestion of 2,000+ daily images, reducing the tagging and QA lifecycle by 50% (from 48 to 24 hours). Architected a Python/Pandas ETL pipeline with a Gemini 1.5 Flash mapping engine for catalog transformations, slashing vendor onboarding time by 66% (from 3+ days to 1 day).