Anand Taralika
Engineering at Scale: Building AI Infra for the Next Decade
Engineering leader building AI for 1B+ users. Led 40+ engineers, unlocked $5B revenue. 2x TIME Best Inventions, 10+ patents, IEEE publications.
Expertise: Agentic AI • Multi-Cloud MLOps • RAG at Scale • Edge Intelligence • Robotics
Now exploring opportunities to build next-gen AI systems.
My AI Philosophy
Three principles that guide how I build AI products at scale
Adoption > Innovation
The best AI feature is one users adopt daily, not the most technically impressive one.
→ Real-world impact beats research papers
Latency is Trust
At billion-user scale, every 100ms of latency costs millions in user trust. Speed isn't a feature—it's survival.
→ Sub-2s accurate responses aren't optional
Build for Billions, Not Demos
I architect for worst-case scenarios: slow networks, diverse devices, real users who won't read instructions.
→ Production > prototype
Domain Expertise
Deep technical expertise across emerging AI technologies
Agentic AI & Multi-Agent Systems
Production multi-agent workflows orchestrating document analysis, ETL pipelines, and reasoning at billion-user scale.
Tools: LangGraph, Crew.ai, MCP, A2A
→ Ready for: Autonomous agents, reasoning models, tool-augmented LLMs
AI Efficiency & Cost Optimization
Architected multi-cloud gateway routing 100+ LLMs. Achieved 60% cost savings through intelligent LLM→SLM transitions and edge deployment.
Tools: Model distillation, quantization (FP8, INT8), on-device inference
→ Ready for: Edge AI, SLM deployment, cost-latency-quality optimization
Multi-Cloud AI Infrastructure
Built platform serving 2000+ engineers with unified access to AWS Bedrock, Azure OpenAI, GCP Vertex AI. 99.95% uptime at scale.
Tools: Kubernetes, Docker, Terraform, ArgoCD, Prefect, Airflow
→ Ready for: MLOps at scale, microservices, DevOps automation
RAG & Retrieval Systems
Hybrid GraphRAG combining dense/sparse retrieval, multi-hop reasoning, streaming responses at sub-2s latency for 1B+ users.
Tools: Pinecone, Weaviate, FAISS, vector search
→ Ready for: Advanced RAG architectures, knowledge graphs, HyDE
AI Trust & Observability
LLM-as-judge evaluation, hallucination prevention, source attribution, bias mitigation, groundedness verification in production.
Tools: LangSmith, LangFuse, MLFlow, W&B
→ Ready for: Ethical AI, explainability, continuous evaluation pipelines
Robotics & Computer Vision
IEEE publications on autonomous navigation. Built vision systems for Toyota. Object detection, depth estimation, real-time inference.
Tools: OpenCV, YOLO, Mask R-CNN, PyTorch
→ Ready for: Physical AI, humanoid robotics, real-world multimodal ML
Technical Timeline
15+ years of technical innovation → Ready for next decade
Agentic AI & Multi-Agent Systems
2024-25Built production agents for document analysis • Autonomous ETL workflows • Multi-modal pipelines • LLM-as-judge evaluation • Hallucination prevention
Tech: LangGraph, Crew.ai, MCP, LangSmith, LangFuse
LLM→SLM→Edge AI Cascade
2025Pioneered model distillation pipeline • GPT/Claude → Qwen-4B → custom edge models • FP8 quantization • 60% cost reduction • On-device inference
Tech: Model distillation, LoRA/QLoRA, Quantization (FP8, INT8)
ML Patents: Thematic Insights & Multimodality
2025Filed 2 patents on advanced document intelligence systems with multi-modal processing
Tech: NLP, Computer Vision, Transformers/Deep Learning
AI Assistant - TIME Best Invention
2024Built conversational AI agents for PDFs using LLMs • Multi-cloud RAG architecture • Hybrid GraphRAG • Streaming at sub-2s latency • $5B revenue impact
Tech: LangGraph, Pinecone, AWS Bedrock, Azure OpenAI, GCP Vertex
Liquid Mode - TIME Best Invention
2023Document AI revolutionizing mobile PDF experience • Transformer-based layout analysis • Computer vision • Adaptive rendering • 95%+ accuracy
Tech: PyTorch, OpenCV, Custom vision-language models
Document Cloud Model Gateway
2023Multi-cloud AI infrastructure platform • Serving 2000+ engineers • 100+ LLMs • Intelligent routing • Cost optimization (50% savings) • 99.95% uptime
Tech: AWS Bedrock, Azure AI, GCP Vertex, Kubernetes, Terraform
Adobe Express Video (0→1)
2015-19Launched from scratch • 2M MAU • Monocular depth estimation with Mask R-CNN • Real-time 2D-to-3D conversion • YOLO object detection • 200K schools adopted
Tech: PyTorch, OpenCV, WebGL, YOLO, Mask R-CNN
ML Patents Portfolio
2013-208 patents filed on ML-based authentication, security policies, recommendations, network resource management
Tech: Deep learning, neural networks, real-time inference
Petabyte-Scale ML Systems
2011-15Built recommendation engine with DLRM • Distributed training with PySpark • Kafka streaming (10M+ events/day) • Real-time inference with XGBoost
Tech: PySpark, Kafka, XGBoost, Distributed training
IEEE Robotics Publication
2009Published research on autonomous robot navigation in dynamic environments • Path planning algorithms • Sensor fusion
Tech: Robotics, Computer Vision, Autonomous systems
Toyota Vision Systems
2007-09Built drowsiness detection CV system • Trained statistical models on video frames • Optimized for embedded hardware
Tech: Computer Vision, MATLAB, Embedded systems
→ Ready for: Agentic AI • Edge Intelligence • Multi-Agent Orchestration • Robotics AI
Get In Touch
Ready to architect the next billion-user AI product as VP/CTO/Co-founder. Let's talk if you're building something exceptional.