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Vetted Data Structures and Algorithms Professionals
Pre-screened and vetted.
Mid-level Full-Stack Software Engineer specializing in .NET microservices and FinTech/insurance
Senior Software Engineer specializing in AI platforms and cloud-native systems
Mid-Level Full-Stack Engineer specializing in React/Next.js and cloud-native systems
Senior Full-Stack Developer specializing in cloud-native microservices and automation
Entry-Level Quant Developer specializing in low-latency systems and autonomous robotics
Junior Full-Stack Developer specializing in Java/Spring Boot and React for FinTech
Intern Full-Stack Engineer specializing in Java/Spring Boot and React
Junior AI Engineer specializing in NLP, LLMs, and recommender systems
Mid-Level Software Engineer specializing in backend systems, cloud, and robotics/AI
Junior Software Engineer specializing in Generative AI and Cloud Microservices
Junior Software Engineer specializing in cloud-native backend and LLM applications
Mid-level Machine Learning & Robotics Engineer specializing in autonomous UAVs and biomedical ML
Junior Software Developer specializing in full-stack and data engineering
Mid-Level Software Engineer specializing in cloud microservices and AI automation
Mid-level AI Engineer specializing in agentic LLM workflows and RAG systems
Sangram Jagtap
Mid-Level Full-Stack Software Engineer specializing in web platforms, cloud, and test automation
“Full-stack engineer with hands-on ownership of production systems, including a Kafka-based notification/alerting platform (Node.js + React) deployed on AWS with Docker/GitHub Actions, achieving ~95% email delivery reliability. Demonstrates strong operational maturity (observability, CI/CD, zero-downtime migrations) and experience shipping in ambiguous environments (SJSU project) with evolving requirements.”
Bhargav Kommineni
Intern Full-Stack/ML Engineer specializing in cloud-native web apps and LLM systems
“Machine learning lab assistant at Eastern Illinois University who productionized a voice-enabled conversational AI system: redesigned it with RAG, LoRA fine-tuning (including text-to-SQL), and safety guardrails, then deployed a scalable API supporting ~1,000 daily queries. Also partnered with customer-facing teams during a BlueFi internship by building demos/APIs and accelerating releases via Terraform + AWS CI/CD automation.”
Amer Damaj
Junior Full-Stack Software Engineer specializing in cloud-native web apps and APIs
“Built a voice-driven desktop assistant for users with mobility impairments, integrating Whisper and Google Gemini and adding voice-authentication via speaker embeddings for secure command execution. Has hands-on experience with AWS serverless/microservices patterns (Lambda, S3, CloudFront, CloudWatch) and CI/CD, plus built an internal MySQL-to-MongoDB migration tool used by the CTO and dev team with an emphasis on safe, low-impact data transformation.”
Yassin Benelhajlahsen
Intern Full-Stack Software Engineer specializing in Healthcare IT
“Student full-stack builder shipping real products: a mobile app (Sirat) where they delivered end-to-end theme settings with testing and fast post-launch fixes, and a sports web app (Scorva) that generates AI game summaries from game stats with Postgres-backed caching to control LLM costs. Available for full-time work starting June 2026 and targeting $95k–$110k.”
Maheswar Gorantla
Mid-Level Full-Stack Software Engineer specializing in web platforms and microservices
“Full-stack engineer at Srasys Inc. who built and owned production payments/checkout for an e-learning platform serving 5,000+ users using Next.js App Router + TypeScript. Deep focus on correctness and reliability (Stripe webhooks, signature validation, DB-level idempotency) plus measurable performance wins (~40% latency reductions) through Postgres indexing/EXPLAIN ANALYZE and Redis-backed caching with CloudWatch monitoring.”