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Vetted Machine Learning Engineers in the Bay Area

Pre-screened and vetted in the Bay Area.

PythonDockerAWSPyTorchSQLTensorFlow
SG

Sourabh G

Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference

Bay Area, CA3y exp
OpenAICarnegie Mellon University
A/B TestingAgileAI WatermarkingAirflowApache BeamApache Hive+160
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EP

Esha Pahwa

Screened

Intern Machine Learning Engineer specializing in LLM agents and multimodal reasoning

Mountain View, CA2y exp
Corvic AICarnegie Mellon University

“LLM/agent engineer who built a production code-generation agent at Corvic AI that lets non-technical users query CSV/tabular data in natural language by generating and executing Python. Focused on making LLM systems reliable and scalable via schema-aware validation, sandboxed execution-feedback retries, prompt caching/embeddings, async execution, and high-throughput data processing with Polars; also partnered with Adobe product/marketing to ship brand-aligned AI content generation for email and push notifications.”

Machine LearningDeep LearningMultimodal Machine LearningDeep Reinforcement LearningVisual LearningLarge Language Models (LLMs)+90
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JM

Jani Mohammed

Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference

Bay Area, CA5y exp
OpenAICalifornia State University, East Bay
A/B TestingAcademic Paper ImplementationAgileAI WatermarkingAirflowAmazon Web Services (AWS)+161
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JM

Jayaprakash Majji

Screened

Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and scalable inference

Bay Area, CA5y exp
MetaSoutheast Missouri State University

“ML/LLM engineer who built and shipped an LLM-powered internal knowledge assistant at Meta, focusing on production-grade RAG to reduce hallucinations and improve trust. Deep experience with scaling and serving (FSDP/DeepSpeed/LoRA, Triton, Kubernetes autoscaling) and reliability practices (Airflow retraining, MLflow versioning, monitoring with rollback), including sub-100ms latency and ~35% GPU memory reduction.”

A/B TestingAcademic Paper ImplementationAgileAirflowAmazon S3Amazon SageMaker+184
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VI

Vishanth Iyer

Screened

Senior AI/ML Engineer specializing in LLMs, multimodal AI, and scalable MLOps

San Jose, CA10y exp
NVIDIASanta Clara University

“ML/NLP engineer with experience at NVIDIA and Cruise building production-grade AI systems across genomics/biomedical research and autonomous vehicle data. Has delivered multimodal LLM pipelines, large-scale entity resolution, and hybrid semantic search (BERT embeddings + FAISS + Elasticsearch), with measurable impact (≈40% accuracy/retrieval gains; ≈30% data consistency improvement) and strong MLOps practices (Kubernetes, CI/CD, MLflow, Prometheus/Grafana).”

AIF360AirflowAnomaly DetectionAnsibleApache SparkAWS+137
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SR

SUMANTH REDDY

Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal systems

San Francisco, CA7y exp
Scale AIConcordia University Wisconsin
AccelerateAdversarial ML DefenseAgileAirflowAmazon BedrockAmazon CloudWatch+140
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SS

Sravan Sama

Senior Machine Learning Engineer specializing in LLMs and scalable MLOps

San Francisco, CA7y exp
MetaIndiana University
A/B TestingAgileAmazon EC2Amazon EKSAmazon S3AWS+147
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RG

Rohanth Gundu

Senior AI/ML Engineer specializing in LLMs, RAG, and MLOps

San Francisco, CA7y exp
PerplexitySaint Louis University
PythonSQLRJavaPyTorchTensorFlow+119
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VK

Vibha Kumar

Mid-level AI/ML Engineer specializing in LLMs, RAG, and scalable MLOps

Cupertino, CA5y exp
OpenAIUniversity of North Carolina at Charlotte
A/B TestingAgileAirflowAmazon Web Services (AWS)Apache BeamApache Hive+165
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NV

Nitesh Vemanapalli

Senior AI/ML Engineer specializing in LLM agents, RAG, and production ML systems

San Francisco, CA7y exp
OpenAISaint Louis University
A/B TestingAcademic Paper ImplementationAddress NormalizationAgileAirflowAmazon S3+172
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SM

Subhash Mothukuru

Screened

Mid-level Machine Learning Engineer specializing in LLMs, generative AI, and MLOps

San Francisco, CA5y exp
Scale AIConcordia University Wisconsin

“Built and shipped a production LLM-powered medical scribe that generates structured clinical visit summaries using RAG, strict JSON schemas, and post-generation validation to reduce hallucinations. Experienced in making LLM workflows deterministic and observable (structured logging/metrics/tracing) and in evaluation-driven iteration with metrics like schema pass rate and edit rate; collaborated closely with clinicians and policy stakeholders at Scale AI to drive adoption.”

A/B TestingAgileAirflowAI SafetyAI WatermarkingApache Spark+166
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SB

Sahil Bansal

Screened

Mid-level Backend & ML Engineer specializing in LLM systems and scalable AI pipelines

Bay Area, CA3y exp
MetaSanta Clara University

“Built and shipped a real-time AI phone agent for small businesses that handles bookings/FAQs/messages using streaming ASR, an LLM with tool-calling, and TTS; deployed to production for multiple paying customers. Demonstrates strong applied LLM reliability practices (tool-first grounding, retrieval, hard-negative testing, and production monitoring) and experience orchestrating multi-step AI workflows with Airflow, Prefect, and AWS Step Functions.”

API GatewayApache AirflowASRAWSAWS LambdaAWS SageMaker+85
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MR

Mohammed Raza Syed

Junior Machine Learning Engineer specializing in LLMs, data pipelines, and MLOps

Bay Area, USA2y exp
TeslaUniversity of Pennsylvania
PythonC++JavaJavaScriptRSQL+70
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JT

Jayanth Tummalapenta

Mid-level Machine Learning Engineer specializing in search ranking and NLP

San Francisco, CA3y exp
FaireUC San Diego
A/B TestingApplied Machine LearningAutoPhraseBERTClassificationClick-Through Rate (CTR) Modeling+63
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CB

Chaitanya Battula

Mid-level AI/ML Engineer specializing in GPU-accelerated LLMs, RAG, and production MLOps

San Francisco, CA6y exp
NVIDIAConcordia University Wisconsin
A/B TestingAdaptersAgileAirflowAmazon BedrockAmazon Titan+186
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VK

Vinya Kumar

Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and multi-agent systems

Bay Area, CA5y exp
ShopifyUniversity of North Carolina at Charlotte
A/B TestingAgileAirbyteAirflowAnthropic Claude SDKApache Kafka+164
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RG

Rohanth Gundu

Senior AI/ML Engineer specializing in LLMs, RAG, and MLOps

San Francisco, CA7y exp
PerplexitySaint Louis University
PythonFastAPIFlaskSQLRJava+113
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ZL

Zikai Liu

Junior AI/ML Engineer specializing in LLM agents, RAG, and multimodal data pipelines

San Francisco, United States1y exp
AmazonUC Berkeley
AI AgentsAnomaly DetectionAWSAWS EC2AWS SageMakerBack-End Systems+72
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SR

Sushanth Reddy

Senior Machine Learning & GenAI Engineer specializing in LLM systems and data pipelines

San Francisco, CA7y exp
DatabricksIndiana Tech
PythonJavaC++RSQLJavaScript+87
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KG

Kiriti Golla

Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps

Bay Area, CA5y exp
MicrosoftSUNY Polytechnic Institute
A/B TestingAgileAirflowAmazon S3Amazon Web Services (AWS)Anomaly Detection+151
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RC

Richard Chiou

Senior AI/ML Engineer specializing in computer vision, NLP, and real-time forecasting

Newark, CA10y exp
OutlierUC Berkeley
A/B TestingAPI IntegrationARIMAAWSAWS EC2AWS EKS+89
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HK

Harish Kasu

Screened

Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps

San Francisco, CA5y exp
NVIDIATexas A&M University-Kingsville

“AI/LLM engineer with production experience at NVIDIA and Microsoft, including building a RAG-based enterprise knowledge assistant that improved accuracy by 42% and scaled to thousands of queries. Deep in inference optimization (TensorRT-LLM, Triton, quantization, speculative decoding) and MLOps/observability (Prometheus/Grafana, MLflow, LangSmith), plus orchestration with Kubeflow/Airflow across multi-cloud.”

PythonFastAPIFlaskRSQLJava+204
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CP

Chetan Panthukala

Mid-level AI/ML Engineer specializing in LLMs, RAG, and distributed MLOps

San Francisco, CA6y exp
PerplexityUniversity of North Texas
PythonFastAPIFlaskDjangogRPCJavaScript+123
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