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Vetted OpenTelemetry Professionals
Pre-screened and vetted.
Intern Software Engineer specializing in backend microservices and cloud infrastructure
Junior Full-Stack & Site Reliability Engineer specializing in cloud microservices
Mid-Level Software Engineer specializing in cloud-native microservices for healthcare and finance
Senior Site Reliability/DevOps Engineer specializing in multi-cloud infrastructure and security
Staff-level AI/ML Engineer specializing in enterprise RAG, agentic automation, and AI governance
Mid-Level Software Engineer specializing in Java/Spring microservices for FinTech
Mid-level Software Engineer specializing in GenAI and distributed systems
Senior Software Engineer specializing in distributed systems and FinTech
Senior Software Engineer specializing in cloud-native distributed systems and FinTech
Senior Software Engineer specializing in backend platforms and production AI systems
Senior Full-Stack .NET Engineer specializing in cloud, APIs, and data platforms
Senior Cloud Operations Engineer specializing in SaaS and cloud infrastructure
Mid-level Python Developer specializing in cloud-native FinTech platforms
Intern Software Engineer specializing in AI, distributed systems, and cloud platforms
Senior Full-Stack Java Developer specializing in microservices and Healthcare/FinTech systems
Executive engineering leader specializing in AI, FinTech, and cloud platforms
Nithin Reddy
Mid-Level Software Development Engineer specializing in distributed systems and event-driven architectures
“Built and maintained an internal JavaScript/React real-time event monitoring UI used by multiple Goldman Sachs teams (e.g., Private Wealth Management and Bulk Trading Systems). Focused on scaling performance under hundreds of events/sec—using profiling, memoization, batching, and debouncing—and paired it with strong internal documentation and disciplined incident diagnosis via synthetic load testing and logs/metrics.”
swati aparaju
Director-level Product Management leader specializing in AI, GenAI, and SaaS
“Product leader and former co-founder with hands-on experience shipping enterprise AI products, including Llama-based internal agents, RAG chat interfaces, and workflow automation tools. Has led product, engineering, and data science teams across startups and larger organizations, with a strong track record of mentoring talent and using AI to improve human efficiency rather than replace people.”
Mid-level Software Engineer specializing in AI backend and FinTech
Abnik Ahilasamy
Intern LLM/GenAI Engineer specializing in RAG, agentic systems, and low-latency inference
“Interned at Larsen & Toubro where they built and deployed an agentic RAG document question-answering system to reduce time spent searching documents and improve trustworthiness. Implemented ReAct-style multi-step orchestration with LangChain/LlamaIndex plus evidence-bounded generation, grounding/citations, and rigorous evaluation—cutting latency ~40%, hallucinations ~35%, and unsafe outputs ~40% while collaborating closely with non-technical business/ops stakeholders.”
Aakash Mahesha
Junior AI/ML Engineer specializing in anomaly detection and LLM/RAG systems
“Built and productionized a tool-first, multi-agent framework that augments an anomaly detection model with domain context to generate trustworthy, evidence-backed anomaly explanations (including false-positive likelihood). Architected the platform to be model/orchestration/vectorDB agnostic (e.g., GPT + CrewAI + ChromaDB vs Claude + LangGraph + other vector DB) with strong performance, reliability, and OpenTelemetry-based observability. Also built a personal LangGraph-based "mock interviewer" agent that asynchronously fuses voice + live code input using state reducers, stop conditions, and fallback routing.”