---
title: "Harsh Tiwari - Senior Software Engineer in Bengaluru | Tal"
description: "Meet Harsh Tiwari, Software Engineer | Bachelor of Technology in Computer Science based in Bengaluru. AI stack includes claude code, cursor, and deepseek. Explore public work links including tiwariaiharsh.com."
image: "https://tal.club/meet/harsh-69/share-image"
---

# Harsh Tiwari on Tal

## Headline

Software Engineer \| Bachelor of Technology in Computer Science

## About

🚀 Software Engineer with 3\+ years of experience specializing in full\-stack development and machine learning engineering\. Passionate about building scalable solutions and optimizing system performance\. 💻 Technical Expertise: • Full\-stack development with React\.js, Node\.js, and MongoDB • Machine learning model development and optimization • Performance tuning and database optimization • Microservices architecture and API integration 🎯 Key Achievements: • Optimized MongoDB queries leading to 70% reduction in response time • Achieved 99\.9% uptime for critical banking integrations • Improved ML model accuracy by 79% using CNN\-LSTM hybrid architecture • Led frontend development for enterprise platforms 🔍 Currently focusing on: • Building innovative solutions at KushoAI • Exploring cutting\-edge technologies in ML/AI • Contributing to open\-source projects 💡 I believe in continuous learning and sharing knowledge with the tech community\. Active contributor to technical discussions and mentor to aspiring developers\.

## Location

Bengaluru

## AI stack

claude code

cursor

deepseek

elevenlabs

hermes agent

hugging face

## Work experience

Senior Software Engineer at WellnessLiving, Apr 2025 \- Present · 1 yr 3 mos, Bengaluru, Karnataka, India, Engineered a multi\-tenant Voice AI backend with a generalized function\-calling layer to orchestrate LLM\-driven actions across provider integrations, enabling extensible tenant\-specific workflows through RAG and tool\-execution pipelines for production voice agents\. Re\-architected Cerebrum, our LLM microservice, to deliver sub\-second telephony responses by streaming model output, parallelizing retrieval and tool preparation, trimming prompt\-construction overhead, and removing synchronous bottlenecks from the inference path\. Scaled a WebSocket platform with stateless services, OAuth 2\.0 authentication, and rate limiting, improving connection stability and reducing customer\-reported issues in real\-time chat across tenant\-facing workflows\. Operationalized Airbyte ingestion pipelines from systems including Intercom and Zoom into Redshift, improving the reliability of centralized analytics and downstream reporting\. Launched a RAG\-backed analytics interface with SQL agents to enable self\-serve reporting for internal teams and reduce dependence on manual data requests for recurring business queries\. Deployed production\-grade latency instrumentation across 5 stages of the voice path: STT, request assembly, LLM inference, tool execution, and TTS, using structured tracing and service\-level timing hooks, streaming telemetry through Kafka into Redshift for tail\-latency attribution and sub\-second response optimizations\.

Full Stack Engineer at kusho, Aug 2023 \- Apr 2025 · 1 yr 9 mos, Built Redis and RQ\-based worker pipelines for scalable LLM task execution, prompt processing, and asynchronous job orchestration across large API payloads, improving throughput under heavy background workloads\. Designed a unified service\-definition DSL for 4 API specification formats: Postman, OpenAPI/Swagger, GraphQL, and Protocol Buffers, then integrated LLM APIs to auto\-generate test cases and reduce test authoring time\. Built an API testing and execution platform with 50\+ workflow node types for end\-to\-end orchestration, improving large\-flow execution performance and shortening test runtime for complex workflows\. Developed a Chrome extension that records user interactions and generates Playwright test scripts, implemented robust selectors with fallback strategies for UI changes, and delivered 95% stability, 3x test coverage, and 70% less manual QA\. Built a distributed test execution engine that modeled large API collections as dependency\-aware workflow graphs, executing nodes via Redis based worker queues \(RQ\) with dependency\-aware scheduling, parallel fan\-out, and isolated execution pipelines to support high\-concurrency workflow simulation across 1000\+ businesses\. Built a compiler that normalized 4 specification formats including Postman, OpenAPI, GraphQL, and Protobuf into a common executable graph IR, enabling a shared runtime for test generation, validation, and large\-scale API workflow execution\.

Full Stack Engineer at Castler, May 2021 \- Aug 2023 · 2 yrs 4 mos, India, • Developed high\-throughput payment system with Redis and circuit breakers for UPI/IMPS/NEFT, processing 100Cr\+ monthly with 99\.99% uptime\. • Implemented bank\-grade security using OAuth 2\.0/PKCE with automated scanning for PCI DSS compliance\. • Led zero\-downtime migration of 500GB\+ financial data from MongoDB to MySQL, achieving 50% faster queries and RBI compliance\.

Machine Learning Engineering Intern at Wikilimo, Dec 2020 \- Jan 2021 · 2 mos, \* Developed machine learning models for weather forecasting\. \* Improved accuracy of models by 79% by using CNNs together with LSTMs\. \* Generated highly detailed weather anomaly reports, providing critical insights\.

## Education

Bachelor of Technology, Computer Science, amity University

## Public links

- tiwariaiharsh\.com: https://www\.tiwariaiharsh\.com/

[View the original profile](https://tal.club/meet/harsh-69)

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