Vetted C++ Professionals

“Unity/C# developer with shipped VR multiplayer experience (Photon, server-authoritative networking) including a safety-critical VR title (Swashbuckler at GrooveJones). Built a runtime content pipeline that loads Photoshop files from StreamingAssets and auto-preps basic animations, letting artists iterate in-engine without touching the Unity project—dramatically accelerating asset creation and increasing the volume of illustrated content.”

“Early-stage founder exploring an AI-driven enzyme design startup, with prior hands-on experience building an agentic platform for antibody optimization. Combines deep technical biotech/AI knowledge with a disciplined go-to-market mindset focused on bootstrapping, pilots, and validating willingness to pay before raising capital.”

“Analytics professional with hands-on experience turning messy Excel-based operational data into SQL/Python pipelines and Power BI dashboards, including a production bottleneck project that improved workflow efficiency by 20%. Also brings applied machine learning experience from a Databricks/PySpark loan risk scoring project using logistic regression and XGBoost on large-scale S3 data.”

Tarun Gowda

Screened

Mid-level Software Engineer specializing in AI, backend systems, and cloud platforms

Morristown, NJ3y exp

“Full-stack engineer who helped build and launch an internal genAI platform called GAIL, supporting multiple LLMs, confidential document upload for RAG pipelines, and collaborative chat. Worked across FastAPI, React/TypeScript, AWS/DynamoDB, and Azure, with notable ownership of backend RAG logic, MCP integration architecture, and frontend fixes that improved chat usability.”

Katy Repa

Screened

Junior Product Engineer specializing in sporting goods and athlete performance

Thousand Oaks, CA3y exp

“Former D1 softball player at Stephen F. Austin and the University of Houston who turned her own recruiting, injury, transfer, and scholarship journey into a career advising athletes. She now runs the Easton/Rawlings Fastpitch ambassador program, growing it to 250 players in six months and helping drive major brand launch visibility, while also coaching and mentoring young athletes on recruiting, NIL, and long-term fit decisions.”

“Software development intern who owned and shipped a production-used WeChat mini-program (JavaScript + MongoDB) serving ~3,000 users in a semester. Emphasizes maintainable UI architecture through modular, reusable components and clear separation between UI presentation and data/business logic, with a performance mindset (caching/reducing redundant updates).”

Sreshta Reddy Basi Reddy

Screened

Entry-level Software Engineer specializing in systems, data, and full-stack development

Hyderabad, India1y exp

“Built a production-style hackathon prototype for analyzing healthcare facility data and identifying medical deserts via natural-language queries. Stands out for a pragmatic applied-AI approach: separating retrieval from LLM reasoning, using structured JSON outputs, and designing fallbacks and data-quality checks to keep recommendations grounded and reliable.”

“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.”

“Backend/data engineer focused on AWS-based, low-latency event processing for market data and social-signal sentiment systems. Has led a monolith-to-event-driven migration with feature-flagged incremental rollout, and emphasizes production-grade security (OAuth2/JWT, secrets management, Supabase RLS) and data integrity (deduplication/idempotency) under high-volume spike conditions.”

“Backend Python engineer who has built an LLM agentic tutoring/assignment helper with a custom pipeline for parsing visually complex textbooks (integrating AlibabaResearch VGT and implementing missing preprocessing from the paper), improving RAG grounding with ~90% cleaner extracted text. Also led major platform scaling work by refactoring monolithic image processing into Celery-based async microservices on AWS (GPU/CUDA + S3), and implemented Kafka streaming for payment webhooks with strict ordering, idempotency, and multi-zone fault tolerance.”

“Unity/VR developer who shipped the Meta Quest game "ARCADE PARADISE," contributing features, resolving long-standing bugs, optimizing performance, and documenting internal build/setup workflows. Also built an "Axe Throw" Unity project largely solo featuring a custom C++/OpenCV motion-detection plugin (including low-light detection and noise elimination) and later mentored/onboarded junior developers onto the project.”

“Software engineer with end-to-end ownership of a Qt/C++/QML desktop app for monitoring/configuring equipment, including hands-on UI performance optimization. Also built a web-based AI agent interface (React/TypeScript + Python Flask) with strong API contract discipline and async state handling, and improved microservices reliability using idempotency, DLQs, and observability. Created an internal CI/CD automation tool adopted across engineering and operations teams, adding safer rollbacks and better error messaging based on feedback.”

“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.”

“Co-founder at Skoolive who built a multi-agent LLM application to help users understand complex research papers (including PDF interaction and flowchart-style representations), moving from prototype to production using Gemini SDK and deployment to Runway. Also developed and demoed a web-agent benchmarking framework, running hands-on sessions with customer-facing teams to improve agent reliability and drive adoption.”

“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.”

“Robotics project manager and software lead for an underwater ROV (MATE 2024–2025), building a ROS 2 Jazzy stack on Raspberry Pi and a serial Pi-to-Arduino thruster control system for a 6-thruster configuration. Also has internship experience creating automated functional test pipelines using Jenkins, Selenium, and Python, plus exposure to Isaac Sim for simulated/synthetic data generation in an embodied AI hackathon.”

“Built SparkyAI, a gamified college-essay writing assistant (hackathon project at ASU in 2025) using React/styled-components, Firebase (OAuth/DB), and OpenAI APIs, with concrete scalability and performance measures like rate limiting, indexed queries, code splitting, and conversation caching. Also designed a global low-latency voice-to-LLM architecture leveraging WebRTC, regional containerized services, global load balancing, streaming STT/TTS, and end-to-end encryption with minimal logging.”

“Built a production lead-generation system using AI agents that researches the internet for relevant leads and integrates RAG-based contact enrichment/shortlisting aligned to existing CRM data, enabling sales reps to focus more on selling. Also has hands-on AWS data orchestration experience (Glue, Step Functions) moving raw data into Redshift and evaluates agent performance with human-in-the-loop plus BLEU/perplexity metrics.”

“CloudData engineer who productionized an LLM assistant for a warehouse/logistics customer by wrapping it as a versioned, containerized API with guardrails, deterministic post-processing, and full observability. Experienced diagnosing real-time RAG/agentic incidents (latency spikes and confident-wrong answers) using trace-based isolation, replay in staging, retrieval tuning, and canary releases. Regularly runs technical demos/workshops and partners with sales on security/IAM, SLAs, and pilot rollouts to drive adoption.”

“UE5 gameplay scripter (Blueprint-focused) from small startup teams who specializes in setting up core project architecture (game loop/data flow, controller, game instance, UI/menu) and building modular systems reused across multiple games. Rebuilt a save-system architecture from scratch to replace a problematic asset and improve scalability/maintainability, and has hands-on performance optimization experience (profiling, level streaming, Nanite-to-LOD tradeoffs). Also implemented a realistic cricket match simulation using Markov chains and transition matrices.”

“Unity engineer with deep gameplay AI and multiplayer networking experience: built lethal, squad-coordinated NPC combat AI using behavior trees/blackboards, and re-architected a PvP title from Photon-style peer networking to a server-authoritative FishNet dedicated-server model with PlayFab matchmaking. Also integrated multiple open-source LLM pipelines (3D asset generation via Trellis, TTS, music) into dockerized, autoscaling cloud endpoints and shipped an iOS + visionOS/Vision Pro experience featuring BCI-driven input and on-device TensorFlow inference.”

Jasdeep Gill

Screened

Mid-Level Software Engineer specializing in AI and web development

Abbotsford, Canada5y exp

“Built an OCR backend that trains a custom Tesseract model for proprietary fonts and scales via multi-tenant isolation (tenant-scoped APIs, per-tenant storage, JWT+RBAC). Improved high-load image processing by shifting OCR to async worker queues and adding Redis caching, cutting processing time by ~66%, and also integrated Claude API to auto-generate test cases on code changes.”

Satish Kumar Reddy

Screened

Mid-level AI/ML Engineer specializing in NLP, computer vision, and MLOps

Remote, NJ5y exp

“Built and deployed a production LLM/RAG intelligent document understanding platform for healthcare clinical documents (notes, discharge summaries, diagnostic reports), integrating spaCy entity extraction, Pinecone vector search, and a Spring Boot API on AWS with monitoring and guardrails. Demonstrates strong MLOps/orchestration (LangChain, Airflow, Kubeflow/Kubernetes) and a metrics-driven evaluation approach, and partnered with a healthcare operations manager to cut manual review time by 80%.”