Siva Sai Krishna  Yenugu profile photo 1 on Tal

Siva Sai Krishna Yenugu

Lead Software Engineer at Seezo.io

Bengaluru

5+ years of work experience

Seezo.io
Aug 202510 mosMay 2026

Bengaluru, Karnataka, India

Brandastra.ai
Apr 20241 yr 5 mosAug 2025

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
CREW
Dec 20221 yr 3 mosFeb 2024

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
Navi
Jul 20211 yr 5 mosNov 2022

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
Stakspay
Jan 20217 mosJul 2021

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

Siva’s AI Stack

claude code
claude code
codex
codex
langchain
langchain
langgraph
langgraph
LiteLLM
LiteLLM
Pinecone
Pinecone

Education

Y Combinator

Startup School (India)

Y Combinator

20262026
Indian Institute of Technology, Madras

Bachelor of Technology + Master of Technology, Aerospace Engineering

Indian Institute of Technology, Madras

20165 yrs2021

Join Siva and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Siva Sai Krishna Yenugu on Tal

Headline

Lead Software Engineer at Seezo.io

About

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.

Location

Bengaluru

AI stack

claude code

codex

langchain

langgraph

LiteLLM

Pinecone

Work experience

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

Education

Startup School (India), Y Combinator

Bachelor of Technology + Master of Technology, Aerospace Engineering, Indian Institute of Technology, Madras

Public links

medium: https://medium.com/@ysskrishna

ysskrishna.space: https://ysskrishna.space/

github: https://github.com/ysskrishna

Siva Sai Krishna Yenugu - Lead Software Engineer in Bengaluru | Tal