
Aniket Aryan
@aniketaryan
I build and evaluate production-ready LLM agents, full-stack applications, and machine learning workflows.
What I'm looking for
I'm building and evaluating LLM agents through freelance AI evaluation work, where I assess coding agents on complex software engineering tasks in isolated Docker and WSL2 environments. I also author terminal-based agentic task specifications and comparative quality rationales for model-training pipelines.
At Ethara.AI, I contributed to LLM post-training through prompt engineering, RLHF-style response evaluation, and bias reduction. I led 40 annotators across task allocation, quality review, delivery tracking, and blocker escalation while maintaining SLA compliance.
I've also shipped full-stack products including Nexus, a deployed React, Node.js/Express, and SQLite collaboration tool with JWT authentication, role-based access control, Kanban workflows, and workload analytics. My work spans Python and SQL retail analysis, production deployment, and end-to-end e-commerce delivery.
Experience
Work history, roles, and key accomplishments
Freelance AI Evaluation & Training
Independent
Jan 2026 - Present (8 months)
Evaluates AI coding agents head-to-head on complex software engineering tasks in isolated, containerized environments, assessing correctness, code quality, and instruction-following. Authors terminal-based agentic task specifications and writes detailed comparative quality rationales used in model training pipelines.
LLM Post-Training Intern
Ethara.AI
Jan 2026 - May 2026 (4 months)
Contributed to LLM post-training through prompt engineering, RLHF-style response evaluation, and bias reduction. Led a team of 40 annotators, managing task allocation, quality review, progress tracking, and SLA compliance.
Vocational Intern
Steel Authority of India
Mar 2024 - Apr 2024 (1 month)
Analyzed large-scale trainee registration datasets to identify workflow inefficiencies, improving process accuracy by over 40%.
Education
Degrees, certifications, and relevant coursework
Kalinga Institute of Industrial Technology (KIIT)
B.Tech, Computer Science and Engineering
2022 -
Grade: CGPA: 7.75
Pursuing a B.Tech in Computer Science and Engineering with a focus on AI, expected to graduate in 2026.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Skills
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