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Lead Machine Learning Engineer with 6+ years in Search and Ranking & MLOps
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Evaluating your skill match against the job requirements…
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.