Ajinkya Pannase

Review videos of robots performing instructed tasks and judge task completion, deviation, incompleteness, or faulty setup. Assign task-level and chunk-level tags, and mark failure events at precise timestamps.

Evaluate paired Hindi-language LLM responses on SuperAnnotate against an 8-dimension quality rubric, producing per-dimension scores, preference rankings, and written justifications. Verify factual claims and flag errors, with a self-initiated QC process.

Designed and tested an intraday futures strategy on seven years of minute-level data, judging results by t-statistics, margin over breakeven, and drawdown. Falsified alternative hypotheses through structured testing.

Wrote operating instructions for a live LLM agent and reviewed its actions and outputs for errors and quality. Configured scheduled LLM tasks, built a news-triage workflow, and developed a Python market scanner and Pine Script automation.

Delivered 15+ WordPress websites, improved performance scores, completed zero-downtime hosting migrations, and diagnosed and restored compromised sites.

Provided L2/L3 enterprise technical support across monitoring platforms, maintaining 99.9% system uptime. Investigated incidents through SQL queries and log analysis, performed root-cause analysis, and documented findings.

Conducted pyrolysis experiments converting marine plastic waste into alternative fuels and evaluated engine combustion and emissions. Co-authored two peer-reviewed papers.

Grade: 8.53/10

Completed a Bachelor of Technology in Mechanical Engineering with a GPA of 8.53/10.

Completed a Diploma in Mechanical Engineering.