Headline

Software Engineer @Sonata Software | Full-Stack (Next.js, Python) | Building AI-Powered Web Applications

About

I stumbled into coding out of curiosity, and before I knew it, I was deep into building things that (mostly) work. Now, as a full-stack developer, I spend my time breaking, fixing, and optimizing web applications from crafting sleek UIs with Next.js & TypeScript to handling backend logic, managing databases, and scraping the web with Python. At QuickAds.ai, I juggle frontend, backend, databases, and web scraping basically, if there’s a problem, I’ll find a way to solve it (after a few debugging sessions, some Stack Overflow prayers, and a quick chat with ChatGPT). I’m consistently learning and improving, but figuring things out is half the fun. When I’m not coding, I’m watching web series, anime, or wondering why my “quick” debugging session turned into an all-nighter. Always up for tech discussions, new challenges, and connecting with like-minded folks. Let’s chat!

Location

Bengaluru

AI stack

antigravity

claude code

cursor

langchain

livekit

n8n

Work experience

Software Engineer at Sonata Software, Jun 2025 - Present · 1 yr 3 mos, Bengaluru, • Built end-to-end compliance screening workflows, combining fuzzy-matching and document-analysis pipelines on the backend with responsive broker onboarding dashboards for document submission, risk review, and approval. • Developed AI-driven decision engines generating confidence-scored risk assessments and conversion-likelihood rankings, surfaced through data-rich analyst interfaces visualizing findings and compliance outputs. • Leveraged Generative AI for conversation summarization and intent extraction, powering lead prioritization dashboards that surfaced conversion scores, engagement insights, and personalized outreach recommendations.

Software Engineer at Quickads, Jul 2024 - May 2025 · 11 mos, Remote, • Built the ad search experience end to end, FastAPI + OpenSearch backend reducing query time from 50s to 3s, paired with a full ad discovery UI with complex filtering, sorting, pagination, and sub-second responsiveness across millions of ads. • Designed an ad ingestion pipeline using AWS Lambda, SQS, and proxy scrapers pulling 10,000 to 20,000 Meta ads daily, and built real-time dashboards consuming the refreshed data with efficient frontend rendering strategies. • Shipped a GPT-powered creative analysis tool used by 100+ customers, handling the backend feedback logic and the full frontend workflow including upload flows, processing states, and structured result visualization. • Built automated competitor tracking end to end , an SQS to Lambda to OpenSearch pipeline detecting new ads across 200+ tracked brands, surfaced through interactive intelligence dashboards with filtering and brand activity timelines

Education

Bachelor of Technology, Computer Science, The LNM Institute of Information Technology

Public links

github: https://github.com/sgoyalsmvj

leetcode: https://leetcode.com/sgoyalsmvj