I am Achal Gandhi, a data scientist and AI engineer focused on building production-grade AI systems that scale. With years of experience evaluating and deploying advanced AI solutions, I specialize in LLM-based applications, agentic AI workflows, and RLHF-driven improvements. I thrive at turning complex data into practical, business-enhancing results and enjoy collaborating across teams to deliver reliable, ethical AI systems. Across OpenAI and mixed-model ecosystems, I design end-to-end ML pipelines, implement robust evaluation and governance practices, and craft tooling that accelerates delivery while maintaining quality and security. I’m passionate about translating data insights into measurable value and helping organizations navigate AI adoption with clear governance, transparency, and impact.

Achal Gandhi

I am Achal Gandhi, a data scientist and AI engineer focused on building production-grade AI systems that scale. With years of experience evaluating and deploying advanced AI solutions, I specialize in LLM-based applications, agentic AI workflows, and RLHF-driven improvements. I thrive at turning complex data into practical, business-enhancing results and enjoy collaborating across teams to deliver reliable, ethical AI systems. Across OpenAI and mixed-model ecosystems, I design end-to-end ML pipelines, implement robust evaluation and governance practices, and craft tooling that accelerates delivery while maintaining quality and security. I’m passionate about translating data insights into measurable value and helping organizations navigate AI adoption with clear governance, transparency, and impact.

Available to hire

I am Achal Gandhi, a data scientist and AI engineer focused on building production-grade AI systems that scale. With years of experience evaluating and deploying advanced AI solutions, I specialize in LLM-based applications, agentic AI workflows, and RLHF-driven improvements. I thrive at turning complex data into practical, business-enhancing results and enjoy collaborating across teams to deliver reliable, ethical AI systems.

Across OpenAI and mixed-model ecosystems, I design end-to-end ML pipelines, implement robust evaluation and governance practices, and craft tooling that accelerates delivery while maintaining quality and security. I’m passionate about translating data insights into measurable value and helping organizations navigate AI adoption with clear governance, transparency, and impact.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate

Language

English
Fluent

Work Experience

Data Scientist at Knorket AI
January 1, 2023 - December 1, 2023
Designed and deployed fraud detection models using XGBoost, Isolation Forests, and Autoencoders; built credit risk models for loan default prediction; automated feature engineering and ML training pipelines; conducted EDA on large financial datasets to uncover fraud indicators; deployed fraud risk models as APIs via Flask and FastAPI for real-time integration; optimized ETL workflows for structured and unstructured data; implemented data governance and versioning pipelines.
Data Scientist at Voice Flip Technology
February 1, 2022 - December 1, 2022
Developed fraud detection and anomaly detection pipelines; built real-time anomaly detection with Kafka and Apache Spark; created credit risk models for loan defaults; automated feature engineering and model training pipelines; deployed fraud/risk models as APIs; optimized ETL workflows and data storage integration; implemented data quality checks and led data governance.
Gen AI Consultant at Gen AI Consulting (Remote)
January 1, 2024 - Present
Led evaluation of enterprise-grade LLMs using Python, FastAPI, LangChain, OpenAI tools, and internal models; designed end-to-end evaluation pipelines for agentic AI systems; built metrics dashboards and governance tooling; contributed to ML Ops architectures for multi-model deployments; partnered with PMs and researchers to assess product readiness and risk; designed structured prompts and evaluation criteria to ensure reliability and reusability.

Education

Diploma in Automation and Robotics at Centennial College, Toronto
January 1, 2016 - April 1, 2017
Bachelor of Science, Double Major in Computer Science and Applied Mathematics at York University, Toronto
September 1, 2020 - April 1, 2024

Qualifications

Model Context Protocol (MCP) Agent
January 1, 2024 - January 2, 2026

Industry Experience

Financial Services, Software & Internet, Professional Services