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Vetted Machine Learning Engineers in Virginia
Pre-screened and vetted in Virginia.
Ash Kanwal
Senior AI Engineer specializing in LLMs, RAG, and MLOps on AWS
Sai Vasinenku
Mid-level AI/ML Engineer specializing in GenAI, NLP, and MLOps for finance and healthcare
VAISHNAVI CH
Mid-level AI/ML Engineer specializing in LLMs, RAG, and risk/fraud modeling
Vaishnavi Ch
Mid-level AI/ML Engineer specializing in LLMs, RAG, and risk analytics
Bhuvana S
Mid-level AI/ML Engineer specializing in fraud detection, MLOps, and Generative AI
Syed Jafri
Senior Machine Learning Engineer specializing in MLOps, GenAI, and real-time systems
Bala Santhoshi
Mid-level Data Scientist / AI/ML Engineer specializing in NLP, CV, and MLOps in Financial Services
Divya Sree G
Mid-level Generative AI Engineer specializing in LLMs, RAG, and semantic search
Aakash Jadhav
Mid-level Machine Learning Engineer specializing in LLMs and production NLP
Karan Raj Padam Raj
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps
Rayyan Alam
Junior Robotics & Machine Learning Engineer specializing in autonomy and RAG systems
“New-grad robotics software engineer with hands-on ROS 2 autonomy experience (Nav2, SLAM Toolbox, AMCL) and a strong track record debugging real-world instability (QoS, lifecycle timing, sensor dropouts). Built an HRI speech system on a Stretch 3 robot with deterministic, context-aware templates to manipulate trust/competence/emotion conditions, and integrated an LLM high-level planner that outputs PDDL for classical task planning and replanning.”
Abhinav Vengala
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
“LLM/agentic systems engineer who built a production "Agentic AI Diagnostic Assistant" for network engineers, using a multi-agent Llama 2 + LangChain architecture with RAG over telemetry/incident data in DynamoDB and confidence-based deferrals to reduce hallucinations. Also has strong MLOps/orchestration experience (Airflow, EventBridge, Spark, Docker, SageMaker/ECS) at multi-terabyte/day scale and delivered multilingual NLP analytics (fine-tuned BERT/spaCy) for support operations through hands-on stakeholder workshops.”
Shrushti Gupta
Junior AI Software Engineer specializing in Android ML and LLM-powered recommendations
Hrithika Shakelli
Mid-level Software Engineer specializing in Full-Stack and GenAI/ML platforms
Syed Haider
Senior Machine Learning Engineer specializing in GenAI and LLM-powered systems
HemaSri Perumalla
Mid-level AI/ML Engineer specializing in fraud detection and healthcare predictive analytics
“ML/AI engineer with production experience in high-scale banking fraud detection at Truist, building an end-to-end pipeline (Airflow/AWS Glue/Snowflake, PyTorch/sklearn) with automated retraining and Kubernetes-based deployment; delivered measurable gains (22% fewer false positives, 15% higher recall) and reduced manual ops ~40%. Also partnered with clinicians at Kellton to deploy an LLM system for summarizing/classifying clinical notes, improving review time and decision speed.”
SANJAY NARRA
Mid-level AI/ML Engineer specializing in predictive modeling and NLP for healthcare and FinTech
Mahesh Bandaru
Mid-level AI/ML Engineer specializing in healthcare analytics and generative AI
Sricharan Cheeti
Mid-Level Machine Learning Engineer specializing in NLP and Generative AI