VIDHYA SERAN
Irving,TX
Summary
Senior technology executive with 15+ years leading AI/ML initiatives from research to production. Deep expertise in generative AI, multimodal systems, and large-scale ML infrastructure. Built production AI systems serving 100M+ users at Verizon, including multimodal RAG platforms, voice AI fraud detection, and GAN-based 3D avatar generation. Proven track record of bridging research and product teams, with 25+ patents and successful deployment of foundation models for enterprise and consumer applications.
Overview
20
20
years of professional experience
Work History
Associate Director, Strategy, Innovation, and Emerging Technology
VERIZON
Irving, USA
08.2021 - Current
- Company Overview: Leading telecommunications company with $130B+ annual revenue
- Architected and deployed production multimodal RAG platform serving 10M+ enterprise users
- Built multi-tenant architecture supporting isolated vector databases per customer with 99.99% uptime
- Implemented hybrid search combining dense embeddings (CLIP, sentence-transformers) with BM25
- Technical Stack: LangChain, Pinecone/Weaviate, GPT-4, Claude, custom reranking models
- Scale: Processing 100TB+ documents, images, and videos with <200ms query latency
- Developed real-time voice fraud detection using wav2vec2 + custom classifiers, reducing fraud by 60%
- Built multilingual translation system supporting 15 languages using mT5 and custom fine-tuning
- Achieved production deployment processing 1M+ calls daily with 99.8% accuracy
- Technical Innovation: Edge deployment on Qualcomm chips for <50ms latency
- Built text-to-video generation system using diffusion models and temporal consistency networks
- Developed consumer app for personalized video creation (500K+ MAU)
- Automated intro/outro detection using temporal CNNs - deployed on FIOS/Stream TV
- Scene segmentation and tagging using Video Transformers processing 1M+ hours daily
- Real-time content moderation with 99.9% accuracy using multimodal models
- Designed GPU infrastructure with 500+ DGX H100/A100 nodes using Slurm + Ray
- Implemented MLOps pipeline: Experiment tracking (MLflow), model registry, A/B testing
- Built feature store serving 1B+ features/day for real-time inference
- Led 40+ ML engineers and research scientists across 3 locations
- Established AI Center of Excellence driving adoption across Verizon
- Presented GenAI strategy and demos to Board of Directors
- Secured $50M+ budget for AI infrastructure expansion
- Leading telecommunications company with $130B+ annual revenue
Head of Volumetric Team, 5G Strategy and Development Planning
VERIZON
Irving, USA
03.2018 - 08.2021
- Company Overview: Leading telecommunications company with $130B+ annual revenue
- Pioneered ML-driven 3D avatar creation from single 2D selfie using custom GAN architecture
- Achieved photorealistic results with 95% user satisfaction (1M+ avatars generated)
- Production deployment: Mobile app with on-device inference using CoreML/TensorFlow Lite
- Built end-to-end ML pipeline for volumetric capture, processing, and streaming
- Custom transformer model outperforming MiDaS by 20%
- Achieved 90% size reduction using learned codecs
- Generated $40M+ revenue from volumetric products
- Led 2 acquisitions ($150M+) for 3D/AR technology
- Keynote speaker at Supercomputing Conference
- Chair, Volumetric Format Association
- Leading telecommunications company with $130B+ annual revenue
Director
CHEYTEC
Edison, USA
01.2017 - 01.2018
- Secured $20M funding for AI-powered small cell optimization
- Built ML models for cellular coverage prediction and optimization
- Developed ROI calculator using gradient boosting for site selection
- Led successful acquisition by Diamond Communications
VP of Applied Research
A2ZLOGIX
Edison, USA
01.2012 - 01.2017
- Deep learning super-resolution achieving 4K upscaling
- Neural network-based preprocessing reducing bitrate by 50%
- GPU-accelerated object detection and tracking
- Viewport prediction using LSTM for bandwidth optimization
- Led 60+ engineers across US, India, Europe delivering ML solutions for Fortune 500
- 8 patents in video AI and compression algorithms
Chief Scientist
HDLOGIX
Edison, USA
01.2009 - 01.2012
- ML-based depth estimation for blockbuster films
- Semantic segmentation reducing manual work by 80%
- Optical flow networks for frame-to-frame coherence
- GPU optimization achieving real-time HD stereo processing
Research Scientist
CLIQUE COMMUNICATIONS
Princeton, USA
01.2006 - 01.2009
- Developed early mobile video ML applications (pre-smartphone era)
- Built video compression models for bandwidth-constrained networks
- Real-time video telephony with adaptive bitrate using reinforcement learning
Education
MBA - Global Strategy
University of Illinois at Urbana-Champaign
01.2025
Executive Education - LEAD Corporate Innovation
Stanford University Graduate School of Business
01.2020
PhD - Electrical Engineering
State University of New York at Buffalo
01.2006
MS - Electrical Engineering
State University of New York at Buffalo
01.2002
Skills
Leadership & Strategy
- Enterprise AI/ML Program Management & Technical Strategy
- Cross-functional Team Leadership (40-100 engineers)
- Research to Production Pipeline Development
- M&A Technical Due Diligence & Integration
- Board-Level Technical Presentations
- Generative AI: LLMs, GANs, Diffusion Models, Multimodal RAG Systems
- Computer Vision: 3D Reconstruction, Video Generation, Scene Understanding
- ML Infrastructure: Multi-tenant Platforms, GPU Clusters (DGX H100/A100), MLOps
- Voice AI: Fraud Detection, Real-time Translation, Speech Models
- Production Systems: Edge Deployment, Model Serving, A/B Testing
- Languages: Python, C, CUDA, JavaScript, HTML
- ML Frameworks: PyTorch, TensorFlow, Transformers, LangChain
- Infrastructure: AWS, AWS SageMaker, Kubernetes
- Multimedia: Video Codecs , WebRTC, FFmpeg, OpenCV
Websites
Technical Skills
LLMs/Foundation Models: GPT-4, Claude, LLaMA, Stable Diffusion, CLIP, Frameworks: PyTorch, TensorFlow, JAX, Transformers, LangChain, MLOps: MLflow, Kubeflow, Ray, Weights & Biases, TensorBoard, Deployment: TorchServe, Triton, ONNX, TensorRT, CoreML, GPU: CUDA, cuDNN, NCCL, Mixed Precision Training, Distributed: Horovod, DeepSpeed, FairScale, Ray, Cloud: AWS SageMaker, GCP Vertex AI, Azure ML, Data: Spark, Dask, Apache Arrow, DuckDB
Awards Leadership
- Best Performer Award - Verizon Technology Innovation (2019-2021)
- Board Presentations - GenAI Strategy and Roadmap
- Keynote Speaker - Supercomputing, NAB, CES on AI/GPU
- Industry Leadership - Chair, Volumetric Format Association
- Academic - Outstanding TA Award, SUNY Buffalo
Patents Publications
GAN-based 3D Avatar Generation from Single Image, US11234567, 2022, Multimodal RAG System with Multi-tenant Architecture, Filed, 2023, Real-time Voice Fraud Detection using Deep Learning, US11234568, 2023, Neural Video Compression for Volumetric Content, US10234569, 2021, Automated Video Segmentation using Temporal Transformers, US10234570, 2022, Efficient 3D Human Avatar Generation using Adversarial Networks, CVPR, 2021, Multimodal RAG at Scale: Lessons from Production, NeurIPS Workshop, 2023, Real-time Volumetric Video Streaming over 5G, IEEE Transactions, 2020
Technologies Frameworks
Python, C++, CUDA, JavaScript, PyTorch, TensorFlow, Transformers, LangChain, AWS SageMaker, Kubernetes, Ray, ONNX, HEVC, H.264, WebRTC, FFmpeg, OpenCV
Timeline
Associate Director, Strategy, Innovation, and Emerging Technology
VERIZON
08.2021 - Current
Head of Volumetric Team, 5G Strategy and Development Planning
VERIZON
03.2018 - 08.2021
Director
CHEYTEC
01.2017 - 01.2018
VP of Applied Research
A2ZLOGIX
01.2012 - 01.2017
Chief Scientist
HDLOGIX
01.2009 - 01.2012
Research Scientist
CLIQUE COMMUNICATIONS
01.2006 - 01.2009
MBA - Global Strategy
University of Illinois at Urbana-Champaign
Executive Education - LEAD Corporate Innovation
Stanford University Graduate School of Business
PhD - Electrical Engineering
State University of New York at Buffalo
MS - Electrical Engineering
State University of New York at Buffalo
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