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Vetted Machine Learning Engineers in the Atlanta Metro
Pre-screened and vetted in the Atlanta Metro.
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.”
Richard Jackson
Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems
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.”
Uday Chilakala
Mid-level Machine Learning Engineer specializing in NLP, computer vision, and RAG systems
“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.”
Venkat Paladugu
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and RAG
Hani Kancharla
Senior Machine Learning Engineer specializing in Generative AI and LLM applications
Pooja Kottae
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and fraud/risk modeling
Chandrika chandra
Mid-level AI/ML Engineer specializing in MLOps, real-time pipelines, and cloud deployment
Anukeerthi Reddy
Mid-level AI/ML Engineer specializing in NLP, fraud detection, and LLM/RAG systems
Raghu Gayam
Mid-level AI/ML Engineer specializing in NLP, fraud detection, and LLM applications
Sudeepti Chalamalasetti
Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps
“Built a production RAG-based healthcare chatbot to retrieve patient medical documents spread across multiple platforms, reducing manual and error-prone searching. Implemented semantic search with custom embeddings (Hugging Face) and Pinecone, deployed via FastAPI/Docker on AWS SageMaker with MLflow tracking, and optimized fine-tuning cost using LoRA while orchestrating retraining pipelines in Airflow.”
Sumit Sahu
Mid-level Machine Learning Engineer specializing in computer vision and MLOps on GCP
“ML/AI engineer who deployed a real-time, edge-based computer-vision pipeline for produce recognition in retail self-checkout to reduce shrink. Demonstrates strong end-to-end production chops: multi-camera data calibration/sync, ranking-based modeling for fine-grained classes, latency-focused optimization, and continuous A/B testing/monitoring with guardrails. Experienced with ML orchestration (Kubeflow Pipelines, Airflow) and CI/CD via GitHub Actions, and collaborates closely with store operations to make interventions usable in the checkout flow.”
Leelakarthik Devisetty
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
“Data professional with ~4 years of experience, most recently at AIG (insurance), building ML/NLP systems for fraud detection and policy automation using transformers, CNNs, and clustering/anomaly detection. Also developed a RAG-based knowledge retrieval system, iterating across embedding models and moving to production based on precision and latency SLAs, then containerizing and deploying with SageMaker and CI/CD.”
Madhavi Thatha
Mid-level AI/ML Engineer specializing in fraud detection and scalable ML platforms
SAIPAVAN SINGALA
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
Ramu Ganta
Senior AI/ML Engineer specializing in GenAI, LLM RAG systems, and MLOps
Madhavi Thatha
Mid-level AI/ML Engineer specializing in production ML, NLP, and fraud detection
Nikhitha Todeti
Mid-level AI Engineer specializing in ML, LLM applications, and data automation
“Data/ML practitioner who has built a production RAG-based knowledge assistant integrated into Microsoft 365/internal dashboards to help employees query internal documents in plain English. Experienced orchestrating and hardening ETL pipelines with Airflow and Azure Data Factory (validation, retries, monitoring) and running end-to-end model evaluation and production performance tracking via Power BI.”