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Vetted Data Scientists in Georgia
Pre-screened and vetted in Georgia.
HEMANTH KUMAR KOTTAPALLI
Mid-level Machine Learning Engineer specializing in GPU-accelerated LLMs and MLOps
“Built and deployed a production LLM-powered decision-support system for supply-chain planners that explains demand forecast changes using grounded retrieval from sales, promotion, inventory, and supplier data. Implemented strict anti-hallucination guardrails and latency optimizations, deployed as a real-time AWS API with monitoring, and reported ~15% forecast accuracy improvement and ~12% supply-chain risk reduction. Experienced orchestrating data/ML/LLM workflows with Airflow, LangChain/LangGraph-style patterns, and AWS Step Functions while partnering closely with non-technical business users via demos and example-based requirements.”
likhitha gundre
Senior Data Scientist specializing in machine learning and big data analytics
Venkat Paladugu
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and RAG
Peddi Mathang
Intern Software Engineer specializing in cloud, backend APIs, and LLM evaluation
Ajay Miryala
Staff Data Scientist & GenAI/ML Engineer specializing in agentic systems and GraphRAG
Pooja Kottae
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and fraud/risk modeling
Husayn El Sharif
Senior Data Scientist specializing in geospatial ML and environmental analytics
“Applied ML practitioner who deployed a near-real-time water-quality monitoring tool for Gwinnett County by fusing ESA satellite imagery with in-situ measurements to predict chlorophyll-A and support early warnings for harmful algal blooms. Also working on a multimodal deep-learning project combining skin lesion images with patient tabular/text data (TensorFlow, embeddings) to predict melanoma risk.”
Shail Patel
Mid-level Data Scientist specializing in LLMs, fraud detection, and healthcare analytics
Zach Schachter
Mid-level Data Scientist specializing in pricing, revenue optimization, and operational efficiency
Hrishikesh Keswani
Mid-level Machine Learning Engineer specializing in LLMs and scalable RAG systems
Bhargavi Karuku
Mid-level AI Engineer specializing in ML, NLP, and Generative AI
“AI/LLM engineer with production experience building an LLM-powered investment recommendation system using RAG and chatbots, deployed via Docker/CI/CD and scaled on Kubernetes. Demonstrated measurable performance wins (sub-200ms latency) through QLoRA fine-tuning and TensorRT INT8/INT4 quantization, plus strong MLOps/orchestration background (Airflow ETL + scoring, MLflow monitoring) and stakeholder-facing delivery using demos and Tableau dashboards.”