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Vetted Graduate Research Assistants in Texas
Pre-screened and vetted in Texas.
Lakshmi Sai Charan Sarikonda
Mid-Level Full-Stack Software Engineer specializing in Java/Spring and .NET
Fan Zhang
Mid-level Robotics & Control Researcher specializing in safe control for UAVs and manipulators
“Robotics software engineer who led an end-to-end learning-based UAV controller project, addressing oscillation issues through simulation, gain tuning, and a shift to geometric control. Has ROS experience spanning UAV mocap-based perception and an autonomous driving stack (LiDAR, mapping, AMCL, controller), plus real-world distributed ROS communication over WiFi with performance troubleshooting.”
Sujith Julakanti
Junior MLOps Engineer specializing in LLMs and cloud infrastructure
“Built a production multimodal LLM system (Gemini on GCP) to automate behavioral coding of family-involved science experiment videos, including preprocessing for inconsistent lighting/audio and LangGraph-orchestrated parallel workflows. Also developed rubric-based AI grading workflows and partnered closely with non-technical education stakeholders through explainability-focused walkthroughs and manual-vs-AI evaluation alignment.”
Tejaswini P
Mid-level Machine Learning Engineer specializing in NLP, LLMs, and MLOps
“Built and deployed an LLM-powered financial/regulatory document analysis platform at State Street, combining fine-tuned transformer models with a RAG pipeline over internal knowledge bases. Owned the productionization stack (FastAPI, Docker, SageMaker, Terraform, CI/CD) plus monitoring for drift/latency/hallucinations, delivering ~40% faster analyst review and improved reliability through chunking/embeddings and grounding.”
Bhuvan Kanigiri
Senior AI/Robotics Engineer specializing in GenAI, LLM serving, and computer vision
Venu Devadi
Senior GenAI Engineer specializing in enterprise LLM systems and RAG platforms
Uchechukwu Okechukwu
Mid-Level Software Engineer specializing in backend, distributed systems, and AI/LLM platforms
“Built and shipped AI-powered workflow automation at Oracle, including an MCP-based agentic workflow with tool-calling and guardrails, plus Grafana monitoring and Confluence documentation. Also led a Django monolith-to-microservices migration at Chamsmobile using blue-green deployment and load balancer traffic splitting to avoid regressions while modernizing production systems.”
Srivardhan Vura
Mid-Level Software Engineer specializing in cloud-native microservices and data/AI integrations
Ashish Shah
Mid-level Data Engineer / Software Engineer specializing in streaming and cloud data platforms
“Backend engineer with deep Kafka/FastAPI microservices experience who redesigned a notification pipeline to cut end-to-end latency from ~5s to ~3s (including custom partition assignment and consumer tuning). Led a high-stakes ClickUp-to-Oracle migration of 1M+ records using idempotent ETL, reconciliation, and shadow deployment to achieve >99% integrity with zero downtime, and has hands-on production security implementation with Django/DRF (JWT + RBAC).”