Abhinaav Ramesh

Abhinaav Ramesh

San Jose, California

Gen AI & Data Science engineer transforming research into production. Expert in architecting agentic AI systems with LangGraph, scalable enterprise search, and distributed ML infrastructure serving millions of devices globally.

HPE Gen AI Engineer
Multi-Agent LangGraph/MCP
USC MS Data Science
abhinaav@dev: ~/github
$ git push life
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$ git log --graph --oneline
GitHub Contributions
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Where I've Made Impact

6+ Years 3 Companies 6 Roles
Now

Hewlett Packard Enterprise

Current
Featured in HPE Discover 2025 CEO keynote
50% MTTR reduction serving 6M+ devices
Patent pending Multi-Task BERT architecture
LangGraphLangChainRAGBERTSparkAWS

Data Scientist II - Agentic AI & LLM Systems

Architecting production-scale multi-agent systems using LangGraph. Key contributor to HPE Aruba Networking Copilot featured in HPE Discover 2025 CEO keynote. Building distributed AI infrastructure serving 6M+ devices globally with 50% MTTR reduction and 88% CSAT.

Data Scientist

Engineered custom Multi-Task BERT architecture for enterprise search (Patent Pending). Built secure RAG pipelines with dimensionality compression. Enhanced AI-driven search achieving 98.5% accuracy with BERT-based algorithms and custom LLMs.

Data Science Intern

Led big data initiatives processing 800M+ records with Spark/HDFS, cutting latency by 15%. Implemented embedding-based semantic anomaly detection for network traffic, transforming 2B+ application flow records into vector spaces for real-time threat detection.

2023

USC Neuroimaging & Informatics Institute

6 peer-reviewed publications
>95% IOU on 3D brain MRI generation
Built Auto-QC segmentation framework
PyTorchStyleGANCUDAHPC

Graduate Deep Learning Researcher

Developed StyleGAN-based generative models for 3D brain MRI achieving >95% IOU. Co-authored 6 peer-reviewed publications on deep learning for medical imaging. Built Auto-QC framework for semantic segmentation quality control.

2021

Bosch Global Software Technologies

Patent pending GAN-based image enhancement
35% execution speed improvement
40% reduction in z-axis focus time
TensorFlowGANsAWSEdge AI

Member of Technical Staff - AI

Shipped AI at edge for digital pathology. Developed GAN-based image enhancement for whole slide imaging microscopy achieving >90% accuracy (Patent Pending). Deployed ML algorithms to AWS Cloud with 35% execution speed improvement.

Machine Learning Intern

Innovated advanced image processing algorithms for digital microscopy. Achieved 40% reduction in z-axis focus time through embedded programming for precision measurement.

HPE internship ran concurrently with USC research (May 2022 - Apr 2023)

Career Impact

0B+ Records Processed Big data pipelines
0% Model Accuracy Multi-Task BERT
0% MTTR Reduction Issue resolution
0x Revenue Impact Projected licensing growth
0 Publications IEEE, Nature
0 Hackathon Wins Cal Hacks, PennApps
0 Patents Pending HPE & Bosch

Skills & Credentials

Agentic AI
LangGraphLangChainMCPA2AMulti-Agent OrchestrationRAGRLHFLLM-OpsLLM-as-JudgePrompt Engineering
LLM Fine-tuning
PEFT (LoRA, QLoRA)Prefix TuningInstruction TuningQuantizationModel Distillation
ML/DL Frameworks
PyTorchTensorFlowJAXScikit-LearnXGBoostTransformersDeepSpeedAccelerateCUDA
Cloud & Infrastructure
AWS BedrockOpenSearch RetrievalNL2SQLEMRDockerKubernetes
Observability & Evaluation
OpenTelemetryMLFlow TrackingLangFuseDistributed TracingCustom Eval Pipelines
Data Science
Statistical AnalysisFeature EngineeringData ModelingStochastic ModelsA/B Testing

Scientific Publications

Building Under Pressure

3 hackathons. 3 wins. Rapid prototyping meets real-world impact.

Winner
Cal Hacks

Pattrn

Health analytics platform integrating wearable data with HL7-FHIR standards. Turns activity and mood data into actionable insights for better mental health outcomes.

PythonTensorFlowHL7-FHIRHealth APIs
Winner
PennApps XXIII

GreenFridge

Computer vision IoT device for food sustainability tracking. Monitors fridge contents to reduce food waste and promote sustainable consumption habits.

PythonComputer VisionIoTEdge AI
Winner
GRIDS Hackathon (USC)

Zoom ASL

Real-time American Sign Language translation system using Transformer architectures. Enables accessible communication during video calls.

PythonTransformersComputer VisionReal-time ML

Through My Lens

When I'm not building AI systems, you'll find me chasing light in national parks. The patience required to wait for the perfect shot translates directly to debugging complex systems—both reward those who observe carefully and act decisively.

Cascading waterfalls at Zion
Zion National Park The Subway trail
St. Mary Falls long exposure
Glacier National Park St. Mary Falls
Turquoise alpine lake with mountains
Canadian Rockies Alpine serenity
Rocky beach at Monterey
Monterey, CA Pacific Coast
Shot on Apple iPhone & Fujifilm X-T5