Sneha Madane
Nerul Navi Mumbai
Summary
9+ years of experience driving large‑scale technology initiatives across Agentic AI, CCaaS, AI Assurance, and Financial Services. Recognized for combining delivery ownership, technical depth, and strong governance orientation to successfully execute complex, high‑visibility AI programs. Project Manager & Delivery Lead with expertise in software quality engineering and AI-driven solutions. Delivered enterprise-grade AI-powered HR operations through effective end-to-end project management and stakeholder communication. Led Agile ceremonies, defined project roadmaps, and ensured adherence to quality and compliance standards.
Overview
10
10
years of professional experience
Work History
Project Manager & Delivery Lead
LTIMindtree
2026.01 - Current
- AICHRO is an enterprise-grade AI-powered CHRO Agent designed to automate and augment HR operations including employee queries, policy explanations, leave management, approvals, HR analytics, and executive insights.
- Owned end-to-end delivery, sprint planning, and stakeholder communication.
- Defined project roadmap, milestones, and release plans aligned with business objectives.
- Led Agile ceremonies (Sprint Planning, Daily Standups, Reviews, Retrospectives) across multi-disciplinary teams.
- Owned backlog grooming, feature prioritization, and dependency management across AI, backend, frontend.
- Coordinated closely with Product Owners, Architects, Security, Legal, and Compliance teams.
- Tracked RAID (Risks, Assumptions, Issues, Dependencies) and ensured timely mitigation.
- Conducted executive demos, leadership updates, and Weekly Status Reports (WSR).
- Ensured delivery adherence to quality, security, Responsible AI, and governance standards.
- Implemented backend services, prompt orchestration, and AI quality validation.
- Led Responsible AI assessments (bias, hallucination, fairness).
- Coordinated CISO/AppSec approvals (SAST, DAST, SCA).
- Ensured GDPR compliance, PII protection, and audit logging.
- Established AI guardrails, moderation, and release gates.
- Team Size: 8
- Technology & Tools: Python, Langgraph, Angular, FAST API, Azure
AWS Connect and Bedrock Developer
LTIMindtree
2025.09 - Current
- Led the end-to-end design and delivery of an enterprise CCaaS solution using Amazon Connect (voice), Voicing.ai (bot orchestration), and AWS services (Lambda, DynamoDB, S3, Contact Lens, Amazon Lex/Q/Kendra) to enable intelligent self-service, agent assist, multilingual support, and CRM integration for real-time call summaries and workflows.
- Drove scenario-based costing to replace 10 human agents with an Amazon Connect bot, sized for ~15k calls/month, and established governance, observability, and Responsible AI guardrails.
- Designed Amazon Connect contact flows that hand off calls to Voicing.ai via phone routing; implemented Lambda + REST API callbacks to push call summaries and events into CRM; ensured seamless escalation back to human agents with state handover.
- Integrated with CRM (e.g., Salesforce/D365/ServiceNow) using secured API endpoints; standardized payloads for call details, summaries, and agent assist views; aligned with enterprise data models.
- Enabled bilingual/multilingual conversations (9 Indian languages + ~28 international) with LLM-based real-time translation targeting ~250 ms latency (region-dependent).
- Configured sentiment thresholds (e.g., green 0–40, amber 40–60, red 60–100) with UI controls (slider + checkboxes) to trigger escalation when threshold/duration criteria are met.
- Built detailed costing models (inbound/outbound mix ~10%, queues/routing profiles, token usage per call) across Amazon services; compared bot vs. human agent costs for proposals.
- Orchestrated LLM response evaluation (accuracy, drift, hallucination management), test automation (pytest/deepchecks), and moderation rules to prevent PII leakage; established regression suites for speech/NLU and agent-assist flows.
- Coordinated cross-functional delivery with architecture, engineering, and product leads; managed backlog, risk/issue logs, and readiness for customer demos and executive reviews ahead of key milestones.
- Team Size: 4
- Technology & Tools: Amazon Connect, AWS Lambda, Dynamo DB, AWS Config, REST APIs, S3, Bedrock, Lex
Lead
LTIMindtree
2025.07 - 2025.08
- Led AI quality engineering initiatives using Trusys AI assurance framework, ensuring scalable, compliant, and high-performing AI deployments.
- Played a key role in onboarding and automating testing for the CCAS application on truSys.
- Designed and executed functional, performance, and edge-case testing strategies for AI models, ensuring robustness and reliability.
- Built automated pipelines to validate outputs for accuracy, fairness, bias, and hallucination risks, aligned with Responsible AI (RAI) standards.
- Explored and onboarded the CCAS application onto the truSys platform.
- Automated the entire testing flow, integrating customized functional use cases and RAI testing modules.
- Team Size: 2
- Technology & Tools: Python, TruSys
Developer
LTIMindtree
2025.03 - 2025.06
- Developed a comprehensive workflow for evaluating ML/LLM models.
- Developed comprehensive set of metrics to validate raw dataset, training dataset and testing dataset using the Deepchecks evaluation framework.
- Developed model quality and sustainability checks to evaluate the reliability and robustness of the model.
- Also worked on evaluating RAG based model using advanced metrics like faithfulness, Recall, Precision etc.
- Implemented Pytest-based assertions to automate and validate model performance across multiple evaluation stages.
- Team Size: 2
- Technology & Tools: Python, Deepchecks, Pytest, RAGAS
Automation Developer
JP Morgan Chase
2020.12 - 2024.02
- In UAT I was working as a automation developer where I was supporting different products like Service, Collection, Voice, Customer Fraud Detection.
- I was handling small size team of 4 hybrid testers.
- Identified test cases to be automated based on manual test cases shared.
- Worked in Agile environment.
- Feasibility Study for application to be automated.
- Automated test scenarios by writing reusable functions in framework.
- Worked with different browsers to find effective and robust web element locator strategy.
- Executing Test automation scenarios developed.
- Communication with client and sharing results after automation suite execution.
- Developed Sikuli framework for Desktop application automation.
- Experience in Working on API Testing, BDD, TDD and REST API.
- Implemented TestSight Integration of Jules in order to achieve TRUECD for Acceptance and E2E Testing in Service Product.
- I was responsible for reviewing and evaluating performance of my team.
- I was responsible for sending automation development and execution report to Stakeholder and senior management.
- Conducted Automation University every year for manual Testers to upgrade them as a hybrid tester.
- Received an appreciation for 'Doing the right thing in the right way' and helping hybrid tester to maintain and execution of scripts release by release.
- Developed machine learning model using Google Vertex AI.
- Developed Chatbot for Service Customer and integrated it with MCIP application.
- Team Size: 60
- Technology & Tools: JAVA, Selenium, Sikuli, API, GIT, Jules, Google Cloud Vertex
Automation Team Member
Tech Mahindra
2018.08 - 2020.09
- Testing of rating of packages every month.
- Worked in Automation team in Agile environment.
- Identified test cases to be automated based on manual test cases shared.
- Worked on SQL queries execution.
- Achieved customer satisfaction and high quality for effective automation testing.
- Team Size: 6
- Technology & Tools: Java, Selenium
Developer, SIT Tester
Tech Mahindra
2016.09 - 2018.07
- Sending product recommendations to British Telecom customer based on their current holding using business intelligence tool and JAVA as a programming language.
- Worked in Agile environment.
- Was responsible to create design document for stories assigned.
- Also Developing the code to send recommendations to the customer using business intelligence tool RTD and JAVA.
- Worked on SQL queries execution in SIT.
- Team Size: 8
- Technology & Tools: JAVA, Selenium, SQL
Education
BE -
Computer Engineering
Skills
- Project management (Agentic AI Solutions)
- Product delivery
- Quality assurance
- Amazon Connect
- AWS Lambda
- Dynamo DB
- AWS Config
- REST APIs
- S3
- Bedrock
- LexCCaaS
- AI Assurance
- Banking services
- Python
- Java
- Selenium
- SQL
- Sikuli
- UIPath
- Deepchecks
- Pytest
- Unittest
- SKLearn
- Pandas
- Qtest
- JIRA
- HP-ALM
- Jules
- GIT
Timeline
Project Manager & Delivery Lead
LTIMindtree
2026.01 - Current
AWS Connect and Bedrock Developer
LTIMindtree
2025.09 - Current
Lead
LTIMindtree
2025.07 - 2025.08
Developer
LTIMindtree
2025.03 - 2025.06
Automation Developer
JP Morgan Chase
2020.12 - 2024.02
Automation Team Member
Tech Mahindra
2018.08 - 2020.09
Developer, SIT Tester
Tech Mahindra
2016.09 - 2018.07
BE -
Computer Engineering