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Vetted Research Assistants in Texas
Pre-screened and vetted in Texas.
Mid-level Software Engineer specializing in ML, optimization, and robotics
Junior Data Scientist specializing in LLMs, RAG, and agentic AI systems
Mid-Level Full-Stack Software Engineer specializing in Java/Spring and AWS serverless
Senior AI/ML Engineer specializing in Generative AI, RAG, and multimodal LLM systems
Junior Software Engineer specializing in Python automation and AWS DevOps
Haeshitha Indukuri
Entry AI/ML Engineer specializing in Generative AI, LLMs, and MLOps
“Built and productionized a MediCloud/Medicoud LLM microservice platform that lets clinicians query medical data in natural language, orchestrating multi-step RAG-style workflows with LangChain and evaluating/debugging with LangSmith. Delivered measurable gains (consistency ~70%→90% / +20%; latency ~2.0s→1.1s / -40%) by implementing structured prompts, fallback logic across multiple LLMs, hybrid retrieval tuning, and AWS Lambda performance optimizations (package size, async, caching).”
Mid-level R&D Engineer specializing in applied AI, experimentation, and cloud-integrated prototypes
Junior Software/AI Engineer specializing in GPU-accelerated HPC and machine learning