---
title: "Maulik Jain - Senior Product Engineer in Greater Bengaluru Area | Tal"
description: "Meet Maulik Jain, Senior Product Engineer at Fibr AI based in Greater Bengaluru Area. AI stack includes anthropic apis, claude code, and claude."
image: "https://tal.club/meet/maulik-jain/share-image"
---

# Maulik Jain on Tal

## Headline

Senior Product Engineer at Fibr AI

## Location

Greater Bengaluru Area

## AI stack

anthropic apis

claude code

claude

gemini

langfuse

openai

## Work experience

Senior Product Engineer at Fibr AI, Aug 2025 \- Present · 1 yr 1 mo, Bengaluru, Karnataka, India, • Architected the Ads Personalization agentic flow end\-to\-end, generating AI\-driven change recommendations across page elements that lifted CVR by ∼10\-11% over manual variants; built with prompt engineering, strict response\-schema validation, iterative hyperparameter and prompt tuning driven by production evals, and checkpoint pause/resume for human\-in\-the\-loop refinement\. • Built Fibr Genesis, an AI landing\-page generator, from POC to production, cutting draft time from ∼2 days to ∼5 minutes per page, with SSE token streaming, an in\-editor chat agent for iterative refinement, and resilient reconnect handling for partial\-event scenarios\. • Built the CRO Audit flow end\-to\-end, a multi\-agent pipeline that audits a prospect’s site for conversion bottlenecks, surfaces user segments via a Segment Discovery Agent, and turns the findings into runnable experiments through the campaign creation engine, cutting audit cycle time from ∼2\-3 days of consultant work to ∼13 minutes\. • Stood up the LLM gateway and observability stack on LiteLLM, Portkey, and Langfuse: centralised API\-key handling at the gateway \(no credential distribution to client services\), provider\-level model fallbacks, and unified LLM observability across the AI platform\. • Built the Demo Sandbox for prospect onboarding, a reverse\-proxy SDK\-injection layer that previews Fibr on a prospect’s live site, with a parallel variant\-generation workflow producing multiple personalised previews simultaneously\. • Owned the supporting platform for these AI workloads, including Temporal Workflows orchestration, HPA \+ KEDA autoscaling, RBAC across services, and the AWS\-to\-GCP migration of dependent infrastructure\.

Softwares Development Engineer \- III at Certa\.ai, Sep 2023 \- Jul 2025 · 1 yr 11 mos, • Spearheaded Design Agent, a multi\-agentic workflow management system that lets end\-users modify JSON DSL workflows via natural language, integrating RAG and tool\-calling with a feedback loop and error\-tracking memory across calls; cut workflow setup from ∼2 months of admin time to a couple of days\. • Engineered Risk Agent, the AI\-powered assessment layer that surfaces and scores third\-party vendor risks by analysing infosec documents \(SOC2, ISO, HIPAA, PCI\-DSS\) against the SIG framework, cutting SIG response time from ∼1\.5 weeks to ∼20\-30 minutes per vendor\. • Developed and deployed the Adjudication Agent, the decisioning layer that determines which surfaced risks are material under client\-specific risk appetites, across compliance, security, and performance dimensions\. • Provided technical leadership to the AI product team, driving ideation, architecture, and full\-lifecycle delivery of AI\-driven products from concept to production\. • Architected the extraction of a core communication and collaboration feature from a monolith into a scalable, multi\-tenant Python microservice on AWS Lambda \+ MongoDB\.

Technical Architect at PermuteHQ, Nov 2021 \- Aug 2023 · 1 yr 10 mos, • Led delivery of web applications across Fin\-Tech, Agri\-Tech, Prop\-Tech, and Insure\-Tech domains; shipped 10\+ projects start\-to\-finish\. • Built a vendor financing platform unlocking working\-capital cash flows for SMBs in Python/Django/Svelte\. • Designed an OCR \+ PDF metadata extraction pipeline that improves insurance\-intermediary efficiency by precisely identifying customer, insured\-entity, and premium data\. • Built a customised job scheduler for batch processing across many data sources, with failover, failure tracking, and retries powering insights and recommendations\.

Senior Software Engineer at RenewBuy, May 2019 \- Oct 2021 · 2 yrs 6 mos, Gurugram, • Overhauled the insurance\-quote engine backbone, simplifying insurer onboarding and reducing integration effort by 20%\. • Deployed centralised logging and APM across the distributed system, identifying and resolving critical bottlenecks for a ∼25% reduction in AWS spend\. • Automated CI/CD for internal microservices using GitLab CI, Docker, and AWS spot instances; migrated legacy bash\-script and BuildBot deployments onto the new architecture\. • Built a system for point\-in\-time querying of internal hierarchies powering MIS, commissions, and incentives\.

Software Engineer at RenewBuy, Sep 2017 \- Apr 2019 · 1 yr 8 mos, • Built an OAuth\-based authentication and authorisation system from scratch, acting as the central repository for encrypted PII and KYC documents across the platform\. • Created a configuration\-driven OLTP backend supporting both static and API\-based pricing, standardising order placement through a generic data and API model with payment\-gateway adaptors\.

## Education

Bachelor of Technology, Computational Science, NIIT University

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

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