Experience — Ayush Mandowara's Career Journey

Over 7+ years of building and scaling AI/ML systems across startups and enterprises. From hands-on ML engineering to technical project management, my journey spans the full spectrum of AI product development — from ideation and prototyping to production deployment and continuous optimization.

[Work]

Senior GenAI Consultant (client: United Health Group)

Virtusa

Aug 2025 – Present

Gurgaon, India

• • Leading development of Advocate Assist — an enterprise-grade conversational AI agent for proactive healthcare support, built on Google Cloud Platform using Gemini 2.0, Dialogflow CX, and Playbooks.
• • Architecting production-grade AI systems handling 10K–100K+ calls/day with sub-second latency, serving thousands of healthcare advocates and members.
• • Collaborating directly with solution architects, product owners, delivery managers, and UHG business stakeholders to define AI strategy, delivery roadmaps, and success metrics.
• • Driving best practices in prompt engineering, RAG pipeline design, evaluation frameworks, and responsible AI governance for healthcare-domain applications.

GenAIGemini 2.0Dialogflow CXGCPPythonRAG

[Work]

ML GenAI Engineer → Technical Project Manager - DLP Team

adeptmind.ai

Sep 2023 – May 2025

Remote, Delhi, India

• • Built the high-revenue Dynamic Landing Pages (DLP) product from scratch under CTO guidance, leading ML/GenAI efforts to auto-generate SEO-optimized retail pages that improved Google rankings and boosted client footfall.
• • Built, scaled and maintained an in-house LLM service handling 100K+ requests/day using FastAPI, Celery, and Redis.
• • Led cross-functional planning (Scrum, retrospectives), interfacing with product, engineering, and business stakeholders to align roadmap and delivery.
• • Mentored new hires, contributed to core model development and MLOps (GitHub Actions, Kubernetes, Prefect) and drove documentation and process maturity.

FastAPICeleryRedisLLMKubernetesGitHub ActionsPrefect

[Work]

Machine Learning (Natural Language Processing) Engineer - Search Team

adeptmind.ai

Apr 2022 – Sep 2023

Remote, Toronto, Canada

• • Maintained Content Understand (CU) and Query Understanding (QU) Machine Learning components using PyTorch, HuggingFace, FastAPI, distilbert, nlp.
• • Built and deployed category & classification pipeline via AWS Sagemaker; deprecated Tensorflow.
• • Built scraping tools and live inventory software (Python, Go, TypeScript, SQL) for malls, retailers.

PyTorchHuggingFaceFastAPIAWS Sagemakerdistilbert

[Work]

Senior Member of Technical Staff – QA Automation Team

now.gg / BlueStacks.com

Sep 2021 – Apr 2022

Remote, Gurugram, India

• • Performance optimization for now.gg BlueStacks Android App Player on Cloud.
• • 5X reduction in test development time and 2X reduction in Suite Run Time using Data Analysis.
• • Regression models for revenue prediction & release funnel tracking (big data, p-value analysis).

PythonData AnalysisBig Data

[Work]

Member of Technical Staff – Technical Support → QA Automation Team

BlueStacks.com

Jun 2019 – Aug 2021

Remote/Onsite, Gurugram, India

• • Developed a multi-lingual PyTest-based automation suite for BlueStacks 5 (Windows 7, 8, 8.1, 10).
• • Developed NLP-powered tools over Zendesk for SEO, log analysis, and automated replies.
• • Integrated and customized Kommunicate.io – DialogFlow live chat into Zendesk and App Player.

PyTestNLPDialogFlow