Vetted MATLAB Professionals

keerthana bhukya

Screened

Junior Software Engineer specializing in AI/ML and cybersecurity

Stockton, CA2y exp

“Salesforce-focused engineer with hands-on depth across Sales Cloud, Service Cloud, Apex, LWC, and Aura. Stands out for owning end-to-end automation features, making thoughtful async architecture decisions to balance performance and reliability, and designing responsive Lightning interfaces that hold up under large data volumes.”

“Robotics simulation/localization engineer who built a lunar crater navigation stack in ROS/ROS2 and Gazebo, including custom localization/perception/planning packages. Demonstrated strong debugging skills by using tf2 frame analysis to fix camera-to-base_link alignment, cutting heading error from 75° to 0.48°, and handled large NASA lunar imagery (~4GB) by converting/downsampling data for Gazebo.”

“Backend engineer with research and industry experience building data-intensive systems for healthcare and IoT. Built Python/Flask/FastAPI services with real-time ingestion and ETL into relational databases, emphasizing data quality, performance tuning, and secure access controls (JWT, RBAC, row-level filtering). Notably caught hardware-driven sensor anomalies others missed and implemented quarantine/alerting to prevent bad data from corrupting analytics.”

“Built and productionized an agentic RAG assistant using Ollama + LangChain + MCP + ChromaDB to speed up and standardize access to operational knowledge from tickets and runbooks. Focused on real-world reliability: mitigated timeouts/latency with retries and concurrency limits, improved retrieval via chunking/embedding iteration, and reduced hallucinations through citation-grounding and confidence-based abstention. Also partnered with non-technical ops staff to deliver anomaly detection/monitoring by translating operational needs into model signals, thresholds, and alerting logic.”

Michelle Gurovith

Screened

Intern Software Engineer specializing in iOS (Swift/SwiftUI) and distributed systems

Danville, CA1y exp

“Built a fault-tolerant distributed IoT sensor network on Raspberry Pi using a token-ring protocol, implementing leader election, timeout-based failure detection, and dynamic reconfiguration when nodes drop mid-round. Focused on reliability and data integrity, including exactly-once processing semantics backed by a MySQL backend and socket-level instrumentation to debug real-time coordination issues.”

Srinivasan Gomadam Ramesh

Screened

Mid-level AI/Data Engineer specializing in agentic AI and data platforms

Redmond, WA7y exp

“AI/LLM engineer who built a production resume-parsing and candidate-matching platform at Quadrant Technologies, combining agentic LangChain workflows, VLM-based document template extraction (~85% accuracy), and a hybrid RAG backend for resume-to-JD search. Notably integrated automated LLM evals and metric-based CI/CD quality gates to catch silent prompt/model regressions, and led a 3-person team across frontend/backend/testing.”

“Robotics software engineer with ~4 years of ROS experience who implemented a real-time diffusion-policy control loop entirely in Gazebo, focusing on inference-latency reduction (warm-start + truncated denoising) for stable closed-loop execution. Has hands-on experience building custom ROS control nodes, optimizing AMR navigation (SLAM + RRT) with sensor-fusion for dynamic obstacles, and designing deterministic multi-robot coordination; also uses Dockerized ROS environments and automated simulation/benchmark pipelines.”

“Autonomy Engineer at Joulea Inc (Atlanta) with ~3 years building a drone autonomy stack end-to-end, spanning controls, swarm path planning, SLAM/LIO, and multi-sensor fusion (lidar/IMU/GPS RTK/camera). Notable work includes lidar degeneracy detection using Hessian-based constraints in an EKF and fusing visual odometry to reduce drift, plus ongoing lidar-camera synchronization and calibration.”

“Early-career robotics software engineer with a couple years of ROS/ROS2 experience focused on agricultural mobile robots. Led integration of a Livox MID-360 3D LiDAR on the Farm-ng Amiga platform, patching ROS2 drivers/QoS and building a 3D-to-2D mapping pipeline so Nav2 could run reliable SLAM/navigation in GPS-denied greenhouse/hop-field environments, enabling stable autonomous row-following.”

“Senior engineer with experience at Micro Focus/HPE (now OpenText) supporting enterprise customers on monitoring platform deployments, upgrades, and ongoing product use. Brings hands-on expertise in operations agents, agentless integrations, security-related upgrade troubleshooting, and cross-functional escalation with engineering to keep customer environments stable and successful.”

“Robotics software engineer working on GNSS-denied UAV localization using 5G PRS (OpenAirInterface + USRP B210) and multi-sensor fusion, with a published AIAA SciTech 2026 result achieving 1.5m RMSE on low-cost hardware. Also integrating a Vision-Language-Action model (SmolVLA) onto the Stretch 2 platform for language-assisted manipulation, leveraging ROS 2, imitation learning data collection with RGB-D, and simulation in Gazebo/MuJoCo for sim-to-real deployment.”

“Founding Robotics Research Engineer at Streamline Robotics building precision-agriculture automation: integrated FANUC + PLC harvesting with a Farm-ng Amiga (Jetson) platform using ROS2 Visual SLAM for GPS-free greenhouse navigation. Developed real-time YOLOv8 tomato detection/ripeness estimation for selective harvest and configured Cognex D900 3D inspection, plus redesigned FarmBot Genesis XL and built an automated imaging/labeling pipeline for growth tracking and adaptive watering.”

“Robotics software engineer who led an energy-aware persistent monitoring project on TurtleBot4/ROS2, building the full stack from simulation and motion control to an energy consumption model and control algorithm implementation. Developed custom ROS2 Python nodes (battery + cmd_vel logging), integrated with Nav2, and handled multi-robot coordination via DDS while troubleshooting network/QoS issues. Also built and tuned a human-aware navigation behavior using Gazebo-based testing and data-driven threshold optimization.”

“Mechanical/manufacturing professional (not a software/Next.js candidate) who emphasizes applying Lean/Six Sigma-style manufacturing quality and continuous improvement tools (Kaizen, PFMEA/DFMEA, DOE, DMAIC, root cause analysis). Target base salary stated as 130,000.”

Krishna K

Screened

Junior Machine Learning Engineer specializing in multimodal systems and LLMs

Jersey City, NJ2y exp

“Built and productionized a domain-specific LLM-powered RAG knowledge assistant at JerseyStem for answering questions over large internal document corpora, owning the full stack from FAISS retrieval and LoRA/QLoRA fine-tuning to AWS autoscaling GPU deployment. Drove measurable gains (28% accuracy lift, 25% latency reduction) and improved reliability through hybrid retrieval, grounded decoding, preference-model reranking, and Airflow-orchestrated pipelines (35% faster runtime), while partnering closely with non-technical stakeholders to define success metrics and ensure adoption.”

Meghana Chowdary Borra

Screened

Junior Machine Learning Engineer specializing in predictive modeling and GenAI RAG systems

Buffalo, New York2y exp

“LLM engineer who built and deployed an emotionally intelligent AAC communication system using an emotion-aware RAG pipeline (Empathetic Dialogues + GoEmotions) and a PEFT-adapted model. Experienced with LangChain/LangGraph and custom Python orchestration, focusing on reliability (guards, schema validation, fallbacks), latency optimization, and rigorous evaluation (automatic metrics + human-in-the-loop), with a reported 18% user satisfaction improvement.”

Prithvi Jai Ramesh

Screened

Junior Robotics Engineer specializing in AI, perception, and autonomous navigation

Tempe, AZ1y exp

“Robotics software engineer with 2+ years of ROS/ROS2 experience who built a mobile robot stack from scratch (Fusion 360 → URDF → ROS) and integrated teleop, SLAM, and navigation. Worked in an ASU lab applying deep learning for person tracking on a TurtleBot setup, and solved real deployment issues like Raspberry Pi video-stream latency via compression and on-board processing. Also reports experience with CI/CD tooling (Jenkins) and Kubernetes.”

Stamatis Sougles

Screened

Mid-level Aerospace & Robotics Engineer specializing in UAVs and autonomous systems

Azores, Portugal4y exp

“Robotics/ROS engineer who led development of ROS 2 nodes for supervising and making safety/mission decisions for autonomous fixed-wing UAVs using PX4 and Gazebo, including handling sensor/battery failures, wind, and obstacle conditions. Has hands-on experience debugging ROS2 multi-node communication (QoS, publish rates) and navigating sim-to-real deployment from SITL to real flight hardware.”

“Built a production 13-step LLM agent pipeline at Sentari AI that converts diary entries into personalized AI responses and a persistent structured user profile. Stands out for a pragmatic approach to production AI: strict schemas, function calling, state-machine orchestration, confidence thresholds, logging, and validation layers to control non-determinism and prevent bad profile updates.”

“Full-stack product engineer who led system design and backend/cloud architecture for a senior-living platform spanning an Android kiosk and admin web portal. They combine Azure microservices expertise with strong accessibility instincts, and their UI/UX improvements for seniors and wheelchair users reportedly helped drive 21% revenue growth and a new customer through word of mouth.”