---
title: "Piyush Tyagi - Software Development Engineer I in Bengaluru | Tal"
description: "Meet Piyush Tyagi, Backend Engineer • AI/LLM Engineer • Data Science | Java, Python, Spring Boot, FastAPI, GenAI based in Bengaluru. AI stack includes antigravity, codex, and cursor."
image: "https://tal.club/meet/piyush-tyagi-1/share-image"
---

# Piyush Tyagi on Tal

## Headline

Backend Engineer • AI/LLM Engineer • Data Science \| Java, Python, Spring Boot, FastAPI, GenAI

## About

I’m a Backend & GenAI Engineer with over 2 years of experience building scalable, reliable, and high\-performance systems across e\-commerce, SaaS, and early\-stage startup environments\. My work spans both traditional backend engineering and modern AI\-driven architectures, allowing me to build systems that are fast, intelligent, and production\-ready\.I’ve worked on multiple impactful products—supporting WizCommerce’s B2B commerce platform, contributing to Fynix\.ai \(an AI\-powered coding and data\-analysis assistant\), and launching 0→1 platforms like Growder and Inpackaging in early\-stage startup settings\. Across these roles, I’ve owned critical backend modules, designed microservices, optimized APIs, improved system performance by 80–90%, and built automation and data pipelines at scale\.My technical skill set includes Java, Spring Boot, Python, FastAPI, PostgreSQL, Redis, RabbitMQ, Kafka, Elasticsearch, AWS, GCP, and production\-grade observability tools\. On the AI side, I work with LLMs, LangChain, LangGraph, RAG pipelines, vector search, embeddings, and workflow automation—enabling AI features to integrate seamlessly into backend systems\.With strong fundamentals in system design, DSA \(300\+ problems\), and Machine Learning & AI, I enjoy solving complex engineering challenges, improving architecture, and building products that deliver real business impact\. I thrive in fast\-paced environments, collaborating with cross\-functional teams, taking ownership, and driving ideas from concept to production\.

## Location

Bengaluru

## AI stack

antigravity

codex

cursor

## Work experience

Software Development Engineer I at WizCommerce, Sep 2025 \- Present · 1 yr, Bengaluru, Karnataka, India, \- Developed and maintained Python FastAPI microservices powering the B2B e\-commerce platform, improving backend reliability and reducing system errors by more than 32%\. \- Improved Elasticsearch search experience by adding fuzzy search, relevance scoring, and query restructuring, ensuring high availability and more accurate results with faster response times across product listings\. \- Optimized high\-traffic APIs, reducing critical endpoint latency by 80% and increasing overall system throughput by 35%\. \- Built and enhanced the Payment Terms module with dynamic tenant\-level configurations, allowing enterprise clients to define custom payment rules, schedules, and workflows with full flexibility\. \- Built the Invoice Clearance system from scratch and implemented a parallelized batch migration pipeline \(bulk APIs, batching, and concurrency controls\) to migrate 1M\+ records between PostgreSQL and Elasticsearch at 1,000\+ documents/sec sustained throughput\. \- Improved system scalability by applying composite indexing, SQL query optimization, and horizontally scaling Elasticsearch with sharding—resulting in a 45% increase in system throughput\. \- Implemented Redis based caching for tenant settings, reducing repetitive DB reads by 70% and cutting configuration load times by 65%\. \- Resolved high\-impact P0/P1 production incidents during on\-call, significantly reducing average resolution time and consistently maintaining near\-zero downtime for clients\. \- Supported backend optimizations during rapid company growth as WizCommerce secured its $8M Series A funding round\.

SDE \- GenAI at Fynd \(Shopsense Retail Technologies Ltd\.\), Feb 2025 \- Aug 2025 · 7 mos, Mumbai, Maharashtra, India, \- Led backend development for the Fynix AI coding assistant, building shared services powering the IntelliJ and VS Code extensions and the Fynix web platform; additionally implemented the IntelliJ extension’s UI using Java, Kotlin, and IntelliJ SDK\. \- Improved codebase indexing speed by 90%\+ through optimization of embedding models, vector databases, and keyword/vector search for fast, context\-rich LLM interactions\. \- Designed modular ETL pipelines using Strategy and Factory patterns to integrate GitHub, GitLab, Azure DevOps, Quip, Google Docs and BigQuery\. \- Engineered large\-scale data ingestion pipelines to integrate Stack Overflow and public GitHub datasets, enriching the system context and improving LLM reasoning and retrieval quality\. \- Boosted AI accuracy with user\-intent detection, prompt engineering, improved RAG workflows, and LLM optimization integrated with OpenAI and Claude APIs\. \- Expanded Fynix from a coding assistant to a data\-analysis agent by building an intelligent workflow using LangChain and LangGraph\. \- Implemented full\-stack observability and monitoring via Sentry, Prometheus, Grafana, and New Relic; automated daily Geckoboard dashboards and LLM token\-usage tracking with Slack reporting\. \- Ensured SOC 2 and GDPR compliance by resolving issues flagged by Harbour, Sonar, BlackDuck, and Fortify; built a standardized exception\-handling system with unified error codes\.

Career transition at Career Break, Jun 2024 \- Jan 2025 · 8 mos, \- Completed Master of Computer Applications \(MCA\) with specialization in Machine Learning & Artificial Intelligence from Amity University\. \- Pursued and completed the Scaler DSML Certification focused on Data Science, Machine Learning, and Deep Learning\. \- Focused on upskilling through hands\-on projects in GenAI, LLMs, LangChain, and system design, and preparing for technical roles aligned with my career goals\. \- Stayed current with backend engineering best practices, cloud technologies, and AI frameworks to ensure a smooth transition back to industry\.

Backend Engineer \(Early\-Stage Startup Experience\) at Growder Technovations Pvt Ltd & Ompax Lifestyle Pvt Ltd, Mar 2023 \- May 2024 · 1 yr 3 mos, Surat, Gujarat, India, \- Spearheaded backend engineering to cut order processing time by 60%, improving operational efficiency and customer satisfaction through optimized workflows\. \- Designed and implemented a secure, scalable User Management Module with JWT auth, session handling, and solid LLD/HLD principles, eliminating access issues and strengthening security\. \- Enhanced the Order Management System using Spring Boot and microservices, achieving 80%\+ performance gains through refined entity modeling and clean architecture\. \- Built reusable, configuration\-driven APIs enabling smooth integration with third\-party platforms like Shiprocket and Shopify, reducing operational overhead and costs\. \- Automated internal workflows across warehousing, design, and logistics to streamline inventory sync, dispatch scheduling, and vendor communication, reducing manual work significantly\. \- Performed operational data analysis to identify performance trends, improving process efficiency by 25% and cutting reporting time by 40% through real\-time dashboards\. \- Delivered fault\-tolerant, high\-throughput backend services using Java, Spring Boot, PostgreSQL, Redis, RabbitMQ, AWS, Bitbucket, and CI/CD pipelines\. \- Led the launch of Growder, a B2B materials marketplace, delivering the platform in 4 months through contributions to early\-stage strategy, planning, and backend implementation\. \- Spearheaded Inpackaging, architecting microservices from scratch and coordinating a 7\+ developer team to ensure modular, scalable, and efficient delivery\. \- Partnered with business, frontend, and QA teams to ensure seamless cross\-service integration and maintain agile release cycles\. \- Diagnosed and resolved performance bottlenecks, improving response times by 30% and increasing throughput under peak load\. \- Analyzed platform usage patterns, turning insights into customer experience improvements and supporting product and marketing strategies\.

## Education

Data Science & Machine Learning, Information Technology, Scaler

Master of Computer Applications \- MCA, Machine Learning & Artificial Intelligence, amity University

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