.png){kind=logo}
Uday Chilakala
Mid-level Machine Learning Engineer specializing in NLP, computer vision, and RAG systems
Connect with Uday
Uday already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
Machine learning/NLP engineer who built a production-oriented retrieval-based AI system at Morgan Stanley for healthcare use cases, combining RAG over unstructured patient records with deep-learning medical image segmentation (U-Net/Mask R-CNN). Strong in end-to-end pipelines and MLOps (Spark/MongoDB, AWS SageMaker, CI/CD, monitoring, automated retraining) and in entity resolution/data quality validation for noisy clinical data.
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Key Strengths
- Built retrieval-based AI system linking unstructured patient records with medical image segmentation outputs
- Applied RAG with domain-specific transformer models (BioBERT/ClinicalBERT) to improve medical data linking accuracy
- Production deployment and scalability via AWS SageMaker with optimized inference pipelines
- Designed robust multimodal data pipelines (text + images) using Spark and MongoDB
- Implemented production MLOps: monitoring, CI/CD, and automated retraining for reliability
- Designed and validated data cleaning/entity resolution workflows using NER, fuzzy matching, and labeled validation sets
Like what you see? We'll introduce you to Uday directly.
Experience
Education
Skills
Languages
Browse Similar
Similar Candidates
Richard Jackson
Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems
“Backend/ML platform engineer with Google experience leading Python microservices for an AI-driven recommendation/retrieval system, including PyTorch inference and a retrieval-augmented generation workflow. Strong in production Kubernetes + GitOps (ArgoCD), real-time Kafka/Spark pipelines, and phased on-prem/legacy to AWS/GCP cloud migrations with reliability-focused rollout and rollback practices.”
Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems
Xingyu Chen
Junior Machine Learning Engineer specializing in generative AI and computer vision
“Built production AI features for image editing and object removal, including an agent that guides users to the right pipeline, validates inputs, refines prompts, and routes requests to GPU-backed generation services. Brings hands-on experience across multimodal control, generative model optimization, and post-launch iteration driven by failure analysis and user feedback.”
Aaron Li
Junior AI/ML Engineer specializing in production LLM systems and RAG
“LLM/document AI engineer who owned a production-grade contract extraction pipeline at CORAMA.AI, ingesting PDFs and dynamic JavaScript sites from 1,000+ government sources. Built a hybrid deterministic+LLM system with two-phase prompting, Pydantic guardrails, confidence scoring, and human-in-the-loop review—cutting error rates from ~35% to <5% and processing 50k+ documents at ~95% accuracy. Also built clinician-in-the-loop orchestration in research, reducing manual labeling time from 3–4 hours to ~50 minutes.”
Senior AI Platform Engineer specializing in agentic AI and RAG systems
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and RAG
Interested in Uday?
We'll personally introduce you - no strings attached.
Build your dream team with Reval
Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.
Discover more candidates like Uday
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent