Lead Software Engineer at Seezo.io

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Bangalore Urban, Karnataka, India

Nashville, Tennessee, United States







Startup School (India)
Y Combinator

Bachelor of Technology + Master of Technology, Aerospace Engineering
Indian Institute of Technology, Madras
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AI Full-stack developer with 4+ years of industry experience, specializing in building cutting-edge web and mobile applications. Proficient in SQL, JavaScript, TypeScript, and Python (FastAPI, Flask), with expertise in Next.js, React, Redux, Node.js, and GraphQL. Skilled in integrating AI/LLM solutions using OpenAI, LangChain, RAG pipelines, and vector databases (Pinecone, ChromaDB), as well as workflow automation with n8n. Recognized for delivering robust, user-centric solutions and contributing to diverse projects, including e-commerce platforms, interactive websites, and mobile applications—designed to engage audiences and solve complex challenges.
Bengaluru
claude code
codex
langchain
langgraph
LiteLLM
Pinecone
Lead Software Engineer at Seezo.io, Aug 2025 - May 2026 · 10 mos, Bengaluru, Karnataka, India
AI Engineer at Brandastra.ai, Apr 2024 - Aug 2025 · 1 yr 5 mos, Bengaluru, Karnataka, India, • Owned the data plane and LLM application layer for BrandAstra, an AI-powered marketing intelligence platform ingesting and processing multi-channel data (10+ sources across social, news, forums, and reviews) to generate actionable insights • Architected and deployed a multi-agent AI system using CrewAI, leveraging role-specialized agents (e.g., competitive analysis, marketing intelligence) to convert raw multi-chanel signals into structured, decision-ready narratives • Designed and scaled distributed ingestion pipelines using FastAPI, RabbitMQ, Celery, and Airflow, enabling reliable processing of high-volume, heterogeneous data across asynchronous and scheduled workflows • Implemented LLM observability using Langfuse, tracking prompt performance, latency, token usage, and response quality to improve reliability, debugging, and iteration cycles • Engineered a production-grade RAG pipeline using LangChain, Pinecone, and OpenAI/Google models, enabling grounded semantic search over large corpora and ensuring responses are evidence-backed rather than generative-only
Founding Engineer at CREW, Dec 2022 - Feb 2024 · 1 yr 3 mos, Bengaluru, Karnataka, India, • Led a team of 3 interns to build an AI career guidance product with features such as career matching, career exploration, and salary comparison, leveraging OpenAI and Prompt Engineering techniques • Collaborated with the founding team to brainstorm, design, and develop a Crew Marketplace to empower 200+ creators for monetization, incorporating features such as event booking, live streaming, selling digital albums, custom song requests, and creator-fan community management • Collaborated with team to develop a Crew Admin dashboard for creators to manage their profile, manage offerings, track orders and payments • Worked closely with the founder to build a collaboration tool for 20+ brands and 1000+ content creators in the fashion and beauty industry • Developed Python-based in-house web scrapers for Spotify, Instagram, and YouTube to automate lead generation and creator onboarding • Engineered multi-tenant payment solution using FastAPI, Stripe, and Razorpay, integrated into 5+ products for efficient financial transactions • Contributed to an Instagram Analytics engine, focusing on audience insights, demographics, and engagement metrics through web scraping • Collaborated with team to develop a feature-rich social bookmarking Chrome Extension, including bookmark syncing, auto-categorization, friend requests, group sharing and management
Software Engineer at Navi, Jul 2021 - Nov 2022 · 1 yr 5 mos, Bangalore Urban, Karnataka, India, • Actively collaborated with a team of 4 to identify gaps in current payment flows and re-architect a new payments platform to enhance and streamline payment processes seamlessly • Contributed to code integrations for a novel payment micro-service implemented in Spring Boot and Kotlin, which manages complete inbound and outbound payment flows for consumer loans, incorporating third-party services like Razorpay, DIGIO, ICICI, Yesbank, and others • Developed an API testing framework with Spring Boot and Kotlin, achieving a substantial ~40% reduction in manual testing efforts before production releases across end-to-end user journeys • Teamed up with my manager to build a Slack bot that simplifies QA testing by generating loan applications at various stages of the process • Automated personal and home loan user journeys in the iOS Swift app, integrated into the CI/CD cycle to streamline releases and cut down QA efforts
Software Developer at Stakspay, Jan 2021 - Jul 2021 · 7 mos, Nashville, Tennessee, United States, • Worked closely with CTO and team to develop 2 hybrid mobile apps, aimed at addressing booking and payment issues of solo musicians and bands • Developed 2 mobile apps with a total of 20+ screens using React Native, Redux architecture, launched in both Google Play and Apple App Stores • Utilized the Google Play Store and the TestFairy platforms for rapid and efficient beta testing of the developed apps
Startup School (India), Y Combinator
Bachelor of Technology + Master of Technology, Aerospace Engineering, Indian Institute of Technology, Madras
medium: https://medium.com/@ysskrishna
ysskrishna.space: https://ysskrishna.space/
github: https://github.com/ysskrishna