Kanishk Arora
I am an analytical professional with experience across AI model evaluation, data annotation, product management, venture analysis, and software engineering.
About
I am an analytical professional with experience across AI model evaluation, data annotation, product management, venture analysis, and software engineering. I enjoy assessing AI-generated content, applying structured evaluation frameworks, and turning complex information into clear, actionable insights. My technical background includes Python, SQL, machine learning, data analysis, and IoT software development.
I have worked on AI coding assistant benchmarking, LLM response evaluation, startup screening, website development, and EV charging software. I am comfortable collaborating across product, design, engineering, and research teams, and I bring a practical, detail-oriented approach to solving problems and improving products. Outside of my professional roles, I have built projects involving machine learning, web crawling, data mining, and game development.
- 2 years' experience
- Joined October 2026
Industry experience
- Software & Internet
- Computers & Electronics
- Energy & Utilities
- Financial Services
- Gaming
- Transportation & Logistics
Work experience· 5 roles
Evaluated and benchmarked frontier AI coding assistants across backend development, frontend development, DevOps/SRE, and machine learning/data engineering tasks, with a focus on Python-based codebases. Assessed model performance using structured frameworks covering task success, instruction following, interaction quality, and thoroughness to identify strengths, weaknesses, and improvement opportunities.
Evaluated more than 500 AI-generated responses for selection accuracy and relevance. Analyzed outputs for intent alignment, factual accuracy, and reasoning consistency in LLM pipelines, and provided structured annotations to improve model ranking and training datasets.
Screened approximately 100 early-stage startups each week, assessing market potential, founding teams, funding, product differentiation, market size, financial viability, and competitive positioning. Contributed research and insights to investment screening and deal evaluation.
Education
Certifications and awards· 7
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