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Vetted Data Science Professionals
Pre-screened and vetted.
Ekta Mulkalwar
Junior Machine Learning & Full-Stack Engineer specializing in applied AI systems
“Master’s thesis focused on building and deploying a gait-based biometric authentication system using mobile accelerometer time-series data as an alternative to passwords/2FA. Emphasized real-world robustness by addressing sensor noise and variability (phone placement, walking speed, footwear) and improving safety using biometric metrics like FAR/FRR and EER, while collaborating closely with a non-ML thesis advisor.”
Pavithran Gnanasekaran
Entry-level Software Engineer specializing in AI/ML and full-stack systems
“Internship-built full-stack systems spanning HR employee-record portals and internal data-quality dashboards (Flask + SQL + React), emphasizing data integrity and rapid MVP iteration. Also implemented Flask microservices with RabbitMQ for distributed task processing, addressing duplication/ordering issues with idempotency, durable queues, and correlation-ID logging; delivered quantified productivity gains for HR teams.”
Ahmad Rayyan
Entry-level Full-Stack Engineer specializing in Applied AI and multi-agent systems
“Built both traditional full-stack products and advanced LLM systems, from a React/Flask dashboard used by instructors to monitor GitHub contribution patterns to multi-agent benchmark infrastructure at Analytiverse. Particularly strong in evaluation-heavy AI engineering: designed executable verifiers, force-zero anti-reward-hacking checks, and token-optimization strategies that delivered a 40-point pass-rate lift and 90x token reduction on SwarnBench tasks.”
Gowtham Manikanta Chilukabathula
Entry-level AI and Data Analyst specializing in LLMs and analytics
“Candidate brings a blend of AI, analytics, and go-to-market support experience through an AI/data internship and graduate assistant role. They analyzed data across 50+ organizations to identify high-fit outreach segments, improving targeting efficiency by about 28%, and also built/reviewed GPT-4 and LangChain-based outbound messaging systems with strong quality controls.”
Junior Software Engineer specializing in Python automation and full-stack web development
Intern Full-Stack Software Engineer specializing in FinTech and web platforms
Intern Machine Learning & Computer Vision Engineer specializing in 3D reconstruction
Junior Software Development Engineer specializing in Python backend and Generative AI
Mid-level AI/ML Research Engineer specializing in NLP, LLM agents, and multimodal systems
Senior QA/Test Technician specializing in mobile, IoT, and pre-silicon software validation
Junior AI/ML Engineer specializing in LLMs, automation, and backend data pipelines
Entry-level Machine Learning Engineer specializing in LLMs, RAG, and data pipelines
Mid-level Generative AI Engineer specializing in LLMs, RAG, and MLOps
Junior Full-Stack Software Engineer specializing in Python/React and AI-powered web apps
Mid-Level Full-Stack Software Engineer specializing in web apps and AI-powered tools
Intern software engineer specializing in AI, data science, and full-stack development
Harshit Vashisth
Junior AI Engineer specializing in LLMs, RAG systems, and MLOps
“Robotics software engineer who built an end-to-end system ("justmatrix"), focusing on multi-agent orchestration and a multi-RAG retrieval backend/API. Has hands-on ROS experience, including a custom node for reliable high-frequency sensor data routing, plus deployment automation using Docker, Kubernetes, and CI/CD.”
Jaiden Kettleson
Entry-Level Full-Stack & AI Engineer specializing in chatbots and web apps
“Data Science honors graduate (Maryville University) who has built Python/SQL backends and a capstone website handling sensitive user data. Emphasizes secure data handling (password encryption, secure database updates) and uses Git/GitHub Pages with CI/CD-style practices for managing and deploying changes.”
Maham Saleem
Senior Game Developer specializing in Unity, multiplayer, and AR/VR
“Unity/C# gameplay engineer with strong ownership of real-time multiplayer systems, highlighted by building the server-authoritative Photon Fusion architecture for Kawamon.io end-to-end. Brings a useful mix of multiplayer networking, mobile/VR optimization, and AR pipeline experience, plus technical leadership through code reviews, standards, and mentoring.”
Sirisha Gadde
Intern Data Analyst specializing in analytics and machine learning
“FAU-based analytics candidate with hands-on academic project experience across SQL data preparation, Python/NLP sentiment analysis, and predictive modeling. They stand out for turning messy datasets into clean reporting tables, building reproducible analysis workflows, and translating findings into practical recommendations around operations, credit risk, and marketing ROI.”
Jithin Mathew
Mid-level Robotics & Embedded Systems Research Engineer specializing in edge AI for precision agriculture
“Robotics lead engineer (PhD/agriculture research context) who built and iterated a three-unit, wirelessly coordinated greenhouse data-collection robot—solving real-world alignment and comms reliability issues by redesigning the rail/gear system and moving from RF to ESP Wi-Fi with MAC-addressed control. Strong embedded C/C++ background with full-stack robot control implemented from scratch; beginning exposure to ROS 2 via an upcoming field deployment.”
Priyanka Palnati
Entry-Level Computer Science Graduate specializing in ML, data analytics, and cybersecurity
“Built a Smart Resume Screening tool with a React frontend and a Python backend, owning most backend architecture and delivery. Implemented FastAPI endpoints for file upload and NLP/ML inference, created the end-to-end resume classification pipeline, logged predictions to a database for accuracy tracking, and deployed a Dockerized service optimized for low-latency, concurrent processing.”