---
title: "Lakshey Jamrani - Senior Engineering Manager in Pune District | Tal"
description: "Meet Lakshey Jamrani, Senior Engineering Manager – AI & Intelligent Voice Agents | Building Scalable AI-Driven Solutions | Leadership in AI Strategy & Voice Analytics based in Pune District. AI stack includes cursor, opencode, and claudecode."
image: "https://tal.club/meet/lakshey-jamrani/share-image"
---

# Lakshey Jamrani on Tal

## Headline

Senior Engineering Manager – AI & Intelligent Voice Agents \| Building Scalable AI\-Driven Solutions \| Leadership in AI Strategy & Voice Analytics

## About

I am a technology leader with \~14 years of experience designing and delivering AI\-driven solutions that power voice analytics, intelligent automation, and scalable enterprise systems\. I have led cross\-functional engineering teams through complex AI transformations, optimizing performance, and business outcomes across financial services, analytics platforms, and customer experience technologies\. What I do: Build and scale AI voice agents, drive strategic AI initiatives, and deliver analytics\-first solutions that improve efficiency and accuracy\. Leadership: Inspire teams to achieve outcomes faster with agile delivery, measurable metrics, and data\-centric engineering practices\.I’m passionate about bridging AI with business value, mentoring engineers, and sharing insights on tech leadership\.

## Location

Pune District

## AI stack

cursor

opencode

claudecode

## Work experience

Senior Engineering Manager at Bajaj Finserv, Dec 2025 \- Present · 9 mos, As the Head of Generative AI platform team, I lead innovation in AI\-powered product development, focusing on leveraging generative models to create scalable solutions\. My role involves overseeing the design and deployment of AI models, managing cross\-functional teams, and driving AI strategy to enhance business processes\. I work closely with stakeholders to align AI initiatives with business goals, ensuring that cutting\-edge AI solutions are integrated seamlessly across products and services, while maintaining ethical standards and promoting continuous improvement in AI capabilities\. Spearheaded the design and delivery of an AI\-driven customer engagement platform \(chatbot \+ voice bot\) across Personal Loans and Credit Cards, automating 60%\+ of Tier\-1 customer support interactions and reducing average call handling time by 45 seconds\. Architected and launched an AI\-powered contact center leveraging GPT\-4\.1 mini, LLaMA\-based RAG pipelines, agentic tool execution, and intelligent routing workflows, reducing human\-agent escalations by 35% within six months of go\-live\. Designed a multi\-agent orchestration framework enabling intent detection, contextual handoffs, and autonomous resolution across four FinTech product lines, eliminating manual intervention for high\-volume customer queries\. Led a 32\-member engineering team across Marketplace, Security Trading, Insurance, and Investments, delivering 12\+ enterprise features across three annual release cycles with consistent on\-time delivery\. Built and scaled a microservices platform supporting Credit Cards, Insurance, Investments, and Trading workloads, achieving 99\.9% uptime SLA and handling 500K\+ daily API transactions at peak demand\. Established LLM observability and evaluation frameworks covering latency, hallucination detection, model quality metrics, and regression analysis, reducing AI model\-related incidents by 50% and improving response quality scores by 28%\.

Engineering Manager at Bajaj Finserv, Sep 2023 \- Nov 2025 · 2 yrs 3 mos

Engineering Manager at Edelweiss Global Markets, Feb 2022 \- Aug 2023 · 1 yr 7 mos, Designed and delivered a Trading Strategy Backtesting Framework in Python, enabling quant analysts to evaluate 200\+ strategies against 5 years of historical data and cutting validation time from 2 weeks to 2 days\. Built a comprehensive P&L Evaluation Framework covering Drawdown, MTM, Profit Factor, and Portfolio Performance, improving trade decision confidence and reducing erroneous strategy deployments by 30%\. Optimised execution pipelines for high\-frequency trading algorithms, achieving 3x improvement in order execution latency from 12ms to 4ms and directly increasing fill rates by 18%\. Managed a team of 8 engineers and 2 quant analysts across the full SDLC from strategy design to production deployment, maintaining zero critical production incidents over 18 months\.

Technical Lead at Siemens Technology India, Jul 2018 \- Jul 2021 · 3 yrs 1 mo, Noida, EnergyIP Business Monitoring: I lead the development of a system that monitors smart grid device health for utilities\. Using Java, Spring, Kafka, and Oracle, it processes daily meter data to generate reports that help utilities maintain grid health\. EnergyIP Substation Device Management: I oversee a tool that ensures substation devices are in optimal operational states by integrating with Siemens’ security and version management systems\. EnergyIP Data Services: I manage a suite of REST APIs that provide secure, scalable data services for diagnostic and predictive analytics in energy management systems\.

Senior Software Engineer at Siemens Technology India, Jul 2015 \- Jul 2021 · 6 yrs 1 mo, Noida, Uttar Pradesh, India, Developed an Advanced Device Manager and Business Monitoring system for smart grid energy meters deployed across 50,000\+ field devices in utility provider networks\. Built a Kafka\-based event\-driven processing pipeline ingesting 10M\+ daily energy consumption events, generating real\-time reports for 200\+ utility providers with sub\-second delivery SLA\. Implemented customised data processing logic for 15\+ customer\-specific configurations, reducing onboarding time for new utility clients by 60% through reusable processing templates\. Delivered 6 major product releases over 6 years with zero post\-release P1 incidents, earning internal recognition for engineering quality and cross\-team collaboration\.

Software Engineer at SITA, Mar 2014 \- May 2015 · 1 yr 3 mos, Gurgaon, Haryana, India, SITA provide governments with a range of features to improve security through better detection, while at the same time helping low risk travelers cross the border rapidly\. This includes simple data collection from airlines systems up to sophisticated tools that provide intelligent risk assessment in advance of a passenger's arrival, or even departure\. The expected benefits from this implementation include: Extends borders to the point of flight origin, allowing arrival government to prevent passengers from boarding aircraft\. Performs sophisticated risk assessment of arriving and departing travelers, pre or post departure, using a variety of passenger data\. Targets key persons of interest and take proactive actions

Software Engineer at Infosys, Jan 2012 \- Feb 2014 · 2 yrs 2 mos, Bengaluru, Karnataka, India, Developed and maintained enterprise Java applications for 3 global clients, contributing to 4 product releases and improving code coverage from 52% to 78% through unit testing initiatives\.

## Education

Bachelor of Technology, Computer Engineering, Jaypee University of Engineering and Technology

High School, Computer Science, Ramjas School

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

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