---
title: "Parikshit Singh - Senior Software Engineer in Greater Bengaluru Area | Tal"
description: "Meet Parikshit Singh, Senior Backend & AI Engineer | Scaled LLM-powered services to 10M+ daily requests | Distributed Systems | Building Conversenow based in Greater Bengaluru Area. AI stack includes claude code, cursor, and Goose."
image: "https://tal.club/meet/parikshit-singh/share-image"
---

# Parikshit Singh on Tal

## Headline

Senior Backend & AI Engineer \| Scaled LLM\-powered services to 10M\+ daily requests \| Distributed Systems \| Building Conversenow

## About

I'm open to Senior / Staff\-track Backend, Platform, or production\-focused ML/AI Engineer roles — Bangalore\-first, remote\-friendly globally\. If you're scaling backend systems or putting LLMs into real products, let's talk\. Senior Backend Engineer with 7 years building and owning high\-performance, distributed systems in Go — most of it powering real\-time conversational/voice AI at ConverseNow\.ai, where my services sit on the critical path of live customer ordering\. I work at the intersection of backend systems and production AI: low\-latency Go microservices on GCP, plus the LLM tooling, RAG, and fine\-tuning pipelines that make models actually reliable in production\. I like owning a service end\-to\-end — SLAs, incidents, redesigns, and all\. What I've shipped: Cut cart\-generation latency from \~1s to 300ms \(70%\+\) through algorithmic and infrastructure rework on a service in the live ordering path\. Migrated a vector database from HTTP/REST to gRPC, handling 10M\+ daily requests with materially lower overhead and tail latency\. Led the migration from a legacy AI stack to GenAI, reaching feature/quality parity in 6 months\. Built a production hybrid RAG service with multi\-embedding support and custom re\-ranking for measurably better retrieval\. Fine\-tuned models from \~70% to 90%\+ accuracy while cutting inference cost \~20% and halving token consumption via better data, eval harnesses, and prompt/dialog policy work\. Designed a multi\-LLM integration \+ benchmarking framework so we could swap and evaluate models fast\. Built a CI/CD automation framework that removed \~1 day of manual QA per cycle and raised release confidence\. Core stack: Go, gRPC, Python, GCP, Kubernetes, Docker, Pub/Sub, Redis, Qdrant, PostgreSQL, plus LLM/RAG/fine\-tuning tooling and observability\. I'm open to Senior / Staff\-track Backend, Platform, or production\-focused ML/AI Engineer roles — Bangalore\-first, remote\-friendly globally\. If you're scaling backend systems or putting LLMs into real products, let's talk\.

## Location

Greater Bengaluru Area

## AI stack

claude code

cursor

Goose

LM Studio

OpenRouter

Qdrant

## Work experience

Senior Software Engineer at The Walt Disney Company, Jun 2026 \- Present · 3 mos, Bengaluru, Karnataka, India, \- Took ownership of LLM observability using data dog and langsmith e2e design of low code agentic system use to create smart agentic workflow

Software Engineer at ConverseNow\.AI, Aug 2023 \- Jun 2026 · 2 y 10 mo, bengalore

Software Engineer at ConverseNow\.AI, Mar 2020 \- Aug 2023 · 3 y 5 mo, Bengaluru, Karnataka, India, Cut cart\-generation latency from \~1s to 300ms \(70%\+\) through algorithmic and infrastructure rework on a service in the live ordering path\. Migrated a vector database from HTTP/REST to gRPC, handling 10M\+ daily requests with materially lower overhead and tail latency\. Led the migration from a legacy AI stack to GenAI, reaching feature/quality parity in 6 months\. Built a production hybrid RAG service with multi\-embedding support and custom re\-ranking for measurably better retrieval\. Fine\-tuned models from \~70% to 90%\+ accuracy while cutting inference cost \~20% and halving token consumption via better data, eval harnesses, and prompt/dialog policy work\. Designed a multi\-LLM integration \+ benchmarking framework so we could swap and evaluate models fast\. Built a CI/CD automation framework that removed \~1 day of manual QA per cycle and raised release confidence\.

Intern at BSH Home Appliances Group, Jun 2019 \- Mar 2020 · 10 mos, Greater Bengaluru Area

## Education

Computer Programming, Scaler

Bachelor of Technology, Electronics and Communications Engineering, Lovely Professional University

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

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