Vetted Research Assistants

“Built and deployed production LLM applications including a natural-language-to-read-only-SQL system focused on ambiguity handling and query safety (schema whitelisting, intent validation, confidence checks, deterministic execution). Experienced with LangChain-based, modular agent orchestration and RAG document QA for large PDFs, with a metrics-driven testing/evaluation approach and cross-functional delivery with marketing on an AI content recommendation/search tool.”

Ahmad Alomari

Screened

Senior Data Scientist & Machine Learning Engineer specializing in computer vision and production ML

Cleveland, OH7y exp

“PhD in computer engineering who has built production-oriented ML/NLP systems for space-weather prediction using Spark-based ETL on noisy satellite sensor logs. Strong in entity resolution and semantic search—fine-tuned E5 embeddings with contrastive learning and deployed to Pinecone, improving top-5 retrieval precision by 25%—and emphasizes scalable, observable pipelines with Airflow, Docker, and CI/CD.”

ROHITH DAMARLA

Screened

Mid-level Backend Engineer specializing in high-scale systems and LLM pipelines

Syracuse, NY6y exp

“Open-source-focused TypeScript/JavaScript engineer who built a lightweight Node.js utility library to standardize LLM-agent message formatting, tool invocation, and safe schema-validated JSON outputs. Emphasizes composable abstractions, real-world performance profiling/benchmarks, and strong community feedback loops (GitHub issues, structured errors, logging hooks). Also did research at Syracuse University on converting natural language into structured JSON with validation layers.”

Negasa Yahi

Screened

Mid-level Robotics & Controls Engineer specializing in autonomous vehicle motion planning

Greensboro, NC9y exp

“Robotics software engineer focused on UAV multi-agent collision avoidance, combining Behavior Trees with MPC and validating in a ROS-based simulator via PX4 hardware-in-the-loop. Has hands-on experience debugging real-time estimation/control issues (EKF noise/arming failures), building distributed ROS service architectures, and smoothing MPC trajectories to meet kinematic and FAA right-of-way constraints.”

Suma Mallu

Screened

Intern Full-Stack Software Engineer specializing in UI/UX and AI-integrated web apps

Remote1y exp

“Built and owned Python backend APIs for real-time educational dashboards at ASU’s Machine Learning lab, improving responsiveness by cutting latency ~35% through caching, batching, and profiling-driven optimizations. Has hands-on experience containerizing Node.js/Python services and running GitOps-style CI/CD with GitHub Actions, plus supporting smaller infrastructure transitions with reproducible, portable configs.”

Kishan Kumar Reddy Konreddy

Screened

Junior Software Engineer specializing in distributed systems and cloud platforms

2y exp

“Software engineer (Lance Soft Engineering) who built a Java/gRPC real-time request tracking system supporting ~20K simultaneous requests, using Kafka event streaming and PostgreSQL to improve transparency and cut support requests by 35%. Demonstrates strong production operations skills—resolved live latency spikes with Kafka async messaging (+48% throughput) and executed safe migrations using parallel runs, staging validation, and blue-green deployments.”

Erick Ortega

Screened

Junior Embedded & Computer Vision Engineer specializing in Edge AI and QA automation

Raleigh, NC2y exp

“Built a Meta-style AI smart glasses system emphasizing on-device privacy and low-latency processing, spanning ESP32-S3/FreeRTOS firmware through an NVIDIA Jetson Linux edge-AI pipeline in Python/Docker. Strong in real-time streaming optimization (zero-copy GDMA, deterministic scheduling), encrypted transmission (AES-256), and reliability via stress testing and robust error handling; currently building CI/CD automation tests using Playwright and computer vision.”

HarshaVardhanRao Vemuganti

Screened

Junior AI/ML Engineer specializing in Generative and Agentic AI

Lafayette, Louisiana4y exp

“Built and deployed a production-grade LLM agent for credit management and accounts receivable automation, integrating ERP/MySQL data via a RAG pipeline and exposing services through FastAPI with Pydantic-validated outputs on AWS Bedrock. Emphasizes reliability and compliance for financial operations using schema validation and human-in-the-loop review, reporting ~32% reduction in manual work and ~41% improvement in response time/reliability.”

Matthew Crandall

Screened

Junior Gameplay Programmer specializing in Unreal Engine 5 and C++

Provo, UT3y exp

“Game developer from a student-led team that shipped a Steam vertical slice (Skyguard), a 3rd-person co-op wave defense shooter. Built core gameplay systems (weapons, movement, wave progression), a UE5 Blueprint/C++ microgame framework, and a gameplay-tag-driven cue system to speed VFX/audio iteration; actively tuned balance using structured playtest feedback and fixed multiple high-impact gameplay bugs.”