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Vetted seaborn Professionals
Pre-screened and vetted.
“LLM/RAG engineer at Connex AI who built and deployed a production healthcare agent to extract clinical insights from medical data/notes. Strong focus on real-world reliability—hallucination mitigation (citations, schema validation, confidence thresholds, rejection logic), custom LangChain orchestration (query rewriting, fallback paths), and production evaluation/observability—while collaborating closely with clinical SMEs to ensure clinical fit and time savings.”
Yousef Abdelsalam
Junior Software Engineer specializing in Odoo, web performance, and backend systems
“Full-stack developer who shipped LLM-powered customer support automation, including an AI call center designed for always-on, high-concurrency real-time phone handling. Also built a WhatsApp lead-conversion chatbot using Zapier webhooks, Redis state, and Twilio messaging, and reports measurable outcomes (+11% customer satisfaction, ~7% cost reduction) while using GPT-4.1.”
Dhairya Gajjar
Mid-Level Software Engineer specializing in Healthcare Data Platforms
“Backend/ML engineer with healthcare domain experience building secure Medicare/Medicaid data APIs and real-time patient risk scoring. Shipped an end-to-end ML pipeline (scikit-learn/XGBoost) served via SageMaker and integrated into Flask APIs, with strong production reliability practices (Kafka schema validation, regression replay, observability, drift monitoring, and human-in-the-loop guardrails).”
Lalith Sagar Kambala
Junior Full-Stack Software Engineer specializing in AI-powered SaaS
“Worked on an AI-adjacent search/results product with a React front end and an API-driven backend, focusing on scalability and performance. Emphasizes decoupled JSON API architecture, React rendering optimizations (useMemo/useCallback), and large-dataset techniques like virtualization, plus strong user-issue triage via log analysis and edge-case fixes in query handling/ranking.”
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.”
Maheswari Thokala
Mid-level Full-Stack Engineer specializing in cloud microservices and REST APIs
“Backend engineer building an AI-powered social media platform on AWS, with hands-on experience shipping LLM-backed application features and improving production performance under high traffic. Strong focus on reliability/observability (CloudWatch, structured logs, health checks) and database optimization (MongoDB explain/slow logs, indexing, caching, connection pooling).”
Mid-level Software Engineer specializing in cloud microservices and ML systems
Mid-level Machine Learning Engineer specializing in NLP and LLM evaluation
Mid-level Data Scientist specializing in computer vision and behavioral analytics
Mid-level Full-Stack/AI Engineer specializing in LLM microservices, RAG, and data pipelines
Intern-level Business Analytics professional specializing in data science and BI
Mid-level AI/ML Engineer specializing in LLM automation and data ingestion systems
Junior AI/ML Engineer specializing in LLMs, RAG, and applied NLP
Entry-Level Data Scientist specializing in machine learning, NLP, and cloud analytics
Mid-level AI/ML Engineer specializing in LLM agents, RAG pipelines, and AI automation
Intern Machine Learning & Computer Vision Engineer specializing in 3D reconstruction
Intern Full-Stack & AI Engineer specializing in ML-driven mobile and data platforms
Junior Data Systems Analyst specializing in ML, NLP, and cloud deployment
Junior Software Engineer specializing in computer vision and LLM-powered systems
Junior Data Analyst specializing in analytics engineering and forecasting
Junior Generative AI Engineer specializing in LLM systems and RAG