Aakansha Mishra

I’m early in my career, combining hands-on technical work across AI projects and data-focused roles. As an AI Freelancer on Alignerr, I support RLHF initiatives to improve LLM code generation quality through structured review and feedback on Python outputs.

I’ve also worked as an intern in data and operational environments—performing data validation and analysis in Excel/SAP to support predictive maintenance tool development, including automating workflow simulations and tracking spare parts inventory for better material planning.

On the engineering side, I’ve gained practical exposure from an electrical department internship, learning electrical safety practices and power distribution systems while assisting with load management, maintenance, and fault operation. Earlier, in biomedical engineering at Fortis Hospital, I built maintenance/troubleshooting experience with devices like Defibrillators, Ventilators, ECG machines, and BP monitors.

My technical drive shows in my projects, especially an Automated Code Quality Scorer: I trained a classification model using scikit-learn (89% accuracy for quality tier prediction) and built a Streamlit dashboard for real-time scoring and improvement suggestions.