Aashraya Sachdeva

Executive Summary

Engineering Director and AI Leader bridging the gap between research and revenue. Currently leading the AI Agents division at Observe.AI, scaling engineering organizations that deliver tangible business results. Executive highlights include leading the 0→1 launch of GenAI products, driving significant net-new ARR, architecting systems processing trillions of tokens, and owning a headcount strategy to align technical roadmaps with US-facing C-Suite goals.

Core Leadership & Technical Strengths

Organizational Leadership: Org Design, Budgeting & P&L Ownership, Enterprise Security, Performance Management, Hiring & Headcount Planning, Technical Strategy
Generative AI & LLM Platforms: Agentic AI, Multi-LLM Orchestration
Enterprise AI Product Delivery: Voice AI, Chat AI, Copilots
Enterprise Engineering Platforms: Security, Reliability, Observability & Cost Governance
Executive Stakeholder Management & US Enterprise GTM Support

Professional Experience

Observe.AI, Inc. company profile

Director of Engineering, AI Agents

Aug 2024 – Present

Own the P&L, engineering strategy, and execution for the GenAI & AI Agents division. Lead a high-performance organization of 30+ engineers (via Engineering Managers and Staff Engineers) responsible for next-generation AI product lines.

Commercial Impact:

Revenue Growth: Led the 0→1 engineering launch of Voice AI, Chat AI, and Copilot product lines, driving 7-figure ARR within the first year.
Retention: Directly supported the defense of strategic enterprise renewals by delivering critical GenAI differentiation and meeting strict enterprise reliability SLAs.
GTM Partnership: Partner directly with the US C-Suite to align technical roadmaps with quarterly revenue targets and go-to-market commitments.

Organizational & Technical Execution:

Org Strategy: Owned headcount planning and budget allocation; designed the division’s structure from the ground up, hiring key management layers and scaling the team with 85%+ retention.
Scale & Governance: Established reliability, Enterprise Security (Multi-tenancy/SOC2/HIPAA) compliance, and cost governance frameworks for systems processing trillions of tokens, achieving 99.9% uptime.
Innovation: Defined and operationalized Agentic AI architectures (Assistant–Task–Tool frameworks) and Multi-LLM orchestration strategies.

Staff Engineer, Machine Learning

Feb 2023 – Jul 2024

Org-level technical leader for Observe.AI’s Generative AI strategy, foundational ML platforms, and enterprise ML infrastructure.

Pioneered QuestAI, a proprietary LLM, improving product accuracy to ~80% using advanced reasoning techniques.
Led GenAI platforms processing billions of enterprise conversations and over 3 trillion LLM tokens at production scale.
Led high-level design and execution, aligning ML research, platform engineering, and product delivery.
Led Kubernetes-based cost tracking for CPU, GPU, and ML workloads used in GenAI spend governance.
Reduced GenAI inference costs and vendor dependency by 50%+ by migrating LLM serving from AWS SageMaker to Kubernetes while retaining the same SLA.

Senior/Lead Engineer, Machine Learning

Dec 2020 – Jan 2023

Led design and scaling of real-time ML systems powering enterprise conversational intelligence products.

Architected real-time ML pipelines and semantic embedding search with sub-5-second latency at enterprise scale.
Improved platform scalability and observability, sustaining 40% traffic growth without major incidents.
Contributed to senior hiring, mentoring, and the establishment of ML engineering standards.

Animaker, Inc. company profile

Lead Research Scientist/Team Lead, NLP

May 2019 – Dec 2020

Led NLP research and engineering teams delivering automated video generation platforms from concept to production.
Scaled team from 2 to 10 engineers across ML, backend, and frontend.
Delivered an automated video generation platform from concept to alpha product.

Samsung R&D Institute India, Bengaluru company profile

Senior/Lead Engineer, Deep Learning

Jul 2017 – May 2019

Researched and productized on-device deep learning systems deployed at consumer scale.
Productized RNN-based models deployed on Samsung Galaxy Note9 and S10.
Built Android on-device inference pipelines and mentored interns.

Publications & Industry Contributions

Building the right-sized zero-to-one platform for easy adoption without feature bloat, PlatformCon 2025. link
Probing the Depths of Language Models’ Contact-Center Knowledge for Quality Assurance, EMNLP 2024. link
Tailored Real-Time Call Summarization System for Contact-Centers, Interspeech 2023. link
CauSE: Causal Search Engine for Understanding Contact-Center Conversations, Interspeech 2023. link
Cross-lingual/Cross-channel Intent Detection in Contact-Center Conversations, Interspeech 2023. link
LiveMLP: ML Platform for Assisting Contact-Center Agents in Real-Time, SRECON (USENIX) 2023. link

Leadership, Teaching & Community

Standardized senior engineering hiring rubrics (SDE3+) and participated across SDE3/SDE4/MLE/EM hiring loops.
Visiting Faculty/Instructor, Masters’ Union: Taught applied Machine Learning and Generative AI; mentored capstone projects.
Presented Observe’s first engineering talk at SRECON APAC; supported additional international conference acceptances, building engineering culture for technical eminence, and employer branding.
Featured in AWS Case Study: Led external technical collaboration with Amazon to architect the “One Load Audit Framework” (OLAF), reducing ML inference costs by 50% and improving developer velocity by 10x. link

Education

Master of Engineering, Computer Science & Automation
Indian Institute of Science (IISc), Bengaluru, India
institute profile
Bachelor of Engineering, Computer Science & Engineering
NSUT East Campus (formerly AIACT&R), Delhi, India

Last updated: January 2026