Lead Machine Learning Engineer with 6+ years in Search and Ranking & MLOps
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Assessing your cultural and operational fit
Highly skilled Lead Machine Learning Engineer with 6.1 years of experience in designing, developing, and deploying scalable ML systems. Proven expertise in building end-to-end ranking systems, optimizing data pipelines, and implementing real-time monitoring for large-scale production environments. Adept at leveraging PySpark, distributed systems, and LLMs to drive significant business impact and cost efficiencies.
Indian Institute of Information Technology (IIIT) Una
B.Tech · Computer Science
August 1, 2017 – June 30, 2021
Expedia Group
Machine Learning Engineer II (Lead Developer - Ranking)
January 1, 2024 – Present
India
Expedia Group
Machine Learning Engineer I (Platform & Infrastructure Efficiency)
January 1, 2022 – December 1, 2023
India
Optum (UHG)
Machine Learning Engineer I
June 1, 2020 – December 1, 2021
India
Automated Trading Bot
June 1, 2026 – Present
Developed a Python-based HFT system using the KiteConnect API, implementing real-time data processing and automated risk management strategies.
Expedia Hackathon Winner
June 1, 2026 – Present
Built an AI-powered log analysis tool using LLMs and Splunk, reducing incident resolution time by 30%.
Knowledge Sharing
June 1, 2026 – Present
Published 100+ articles/videos on ML system design and large-scale data processing.
Automated Trading Bot
Unknown
June 1, 2026 – Present
Expedia Hackathon Winner
Expedia
June 1, 2026 – Present
Knowledge Sharing
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Expedia Group, a large tech company, indicates adaptability to structured environments. Their involvement in a hackathon and personal projects like the 'Automated Trading Bot' showcases initiative, innovation, and a drive for continuous learning. The 'Knowledge Sharing' project highlights a commitment to community and continuous improvement, which are positive cultural indicators. The breadth of skills and project diversity suggest a well-rounded individual who can contribute across various aspects of ML engineering.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership potential as a 'Lead Developer' and a track record of improving operational efficiency (reducing latency, increasing uptime, automating monitoring). Their experience in accelerating R&D cycles and building reusable frameworks suggests a collaborative and enabling mindset. The knowledge sharing initiative also points to strong communication and mentorship qualities.