Piyush Singh

Developed ML-driven financial analytics models to support investment research workflows. Designed structured ETL pipelines for ingesting and transforming financial datasets. Automated data validation and preprocessing systems to reduce manual effort. Contributed to AI-assisted decision-support systems for investment strategies.

Trained large language models using Reinforcement Learning from Human Feedback (RLHF). Curated high-quality supervised datasets for fine-tuning LLMs. Implemented structured feedback mechanisms to improve model reasoning and alignment. Collaborated with distributed AI teams to refine generative outputs.

Conducted advanced prompt engineering and LLM evaluation tasks. Optimized AI responses for consistency, reasoning accuracy, and contextual relevance. Contributed to AI workflow automation initiatives.

Designed machine learning workflows including feature engineering and model evaluation. Built structured data processing pipelines for analytics tasks.

Built backend systems using Flask and integrated REST APIs. Managed routing logic and server configurations. Collaborated with frontend teams for seamless deployment.

Ensured high availability and performance of enterprise infrastructure systems. Provided L2/L3 technical support and incident resolution. Designed monitoring and backup strategies to reduce downtime. Optimized system processes and enhanced operational stability.

Generated leads and managed client communications in competitive sales environments. Strengthened strategic planning and negotiation skills.

Assisted in project lifecycle tracking and milestone management. Applied Python-based analytics for process optimization.

Completed practical AI and Python-based application training. Developed foundational software development and problem-solving skills.