Onkar Salvi

Senior Research Engineer

AI Research Engineer specializing in Natural Language Processing, Large Language Models, and AI Agents. Proven track record in designing cost-efficient, high-performance AI systems with measurable business impact.

About Me

I'm an AI Research Engineer with deep expertise in Natural Language Processing, Large Language Models, and AI Agents. Currently working as a Senior Research Engineer at Dataminr, where I focus on building scalable AI systems that deliver measurable business impact.

My work spans the entire AI lifecycle - from research and model training to scalable deployment and post-production optimization. I've published research in AAAI and have extensive experience in LLM-based automation, AI infrastructure, and model optimization.

I'm passionate about creating intelligent systems that can understand, reason, and interact naturally with humans while maintaining high performance and cost efficiency.

7+
Years Experience as AI Engineer
MLOps
AI infrastructure Optimization and Kubernetes expertise
LLMs
Experienced with finetuning and hosting LLMs for inference at scale
NLP
Deep Learning Specialist

Experience

Senior Research Engineer
Dataminr | New York, NY
April 2021 – Present
  • Built and maintained company's in-house AI model serving framework with gRPC server and REST API proxy
  • Achieved 70% reduction in throughput per dollar cost by migrating 14+ deep learning models to AWS Inferentia
  • Designed Sales Enablement App resulting in 3× increase in email open rate and 60% boost in response rate
  • Developed real-time threat detection system processing 600M+ daily messages with 23% F1 improvement
  • Led migration of 40+ AI services from ECS to Kubernetes with substantial cost savings
AI Engineer
OneConnect Financial Technology | New York, NY
Sept 2018 – April 2021
  • Research and developed various ML and DL models for NLP tasks including chatbots and reading comprehension
  • Built Zero-shot Classification model achieving 98% accuracy on seen data and 90% on unseen data
  • Used BERT and KMeans clustering on large call transcript datasets for semantic analysis
  • Designed ranking models for multi-source news aggregation and relevance scoring

Skills & Technologies

🤖 Core ML and AI

RAG Agentic Workflows Prompt Engineering Zero-Shot Learning HITL Systems

⚡ Frameworks

PyTorch TensorFlow Transformers spaCy vLLM Langfuse

☁️ MLOps & Infrastructure

Docker Kubernetes AWS TorchServe MLflow Databricks

Let's Connect

📧

Email

onkar.salvi7@gmail.com