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2e:T69b,Abhishek Raj Permani is a Data Scientist at Jaguar Land Rover, an international speaker, and a published author specializing in Agentic AI, MLOps, and Large-Scale Machine Learning Systems. Recently featured on a Times Square Billboard, Abhishek is recognized for his contributions to the global AI community. He has spoken at India’s Biggest Generative AI Conference (MLDS by AIM), Analytics Vidhya’s DataHour, IIT Delhi, GDG Bhopal, and is now delivering a hands-on session at GDG Ranchi on solving real-world AI/ML problems using modern agentic workflows. Abhishek is the co-author of the upcoming Springer book “Designing Agentic AI Systems: A Hands-on Guide for Building Self-Directed, Single and Multi-Agent Solutions.” He has also written for Open Source For You Magazine, and actively mentors 1000+ learners across Data Science, AI, and ML Engineering. Professionally, Abhishek works at the intersection of high-performance ML infrastructure, GPU cost optimization, AWS MLOps, Kubernetes (K8s), and multi-pipeline orchestration. At JLR, he leads and contributes to critical systems including AALD, NID Processor, Video Processor, CLR-CLC, Transcription, and cost optimization across large-scale GPU workloads. An IIT graduate (IIT Dhanbad & IIT Patna), national-level handball player, and Microsoft-certified Data Scientist, he brings together technical depth, system-design clarity, and real-world industry problem-solving. Whether it’s building ML systems, architecting MLOps on AWS, designing agents, or mentoring upcoming talent, Abhishek’s work focuses on scalable engineering, practical AI adoption, and empowering people to build confidently with AI.2f:T83f,

Are you ready to elevate your career in Data Science and make your resume stand out in the competitive job market? Meet Abhishek Raj Permani, a Senior Data Scientist with an impressive track record at industry giants like Jaguar Land Rover and Samsung. With degrees from IIT and a wealth of experience mentoring over 10,000 learners, Abhishek possesses the insights you need to break into high-demand roles.

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Are you navigating the complex waters of Data Science and Machine Learning? Struggling to find clear solutions or effective guidance? Your search ends here! I'm Abhishek Raj Permani, a seasoned data scientist at Jaguar Land Rover with a BTech in Computer Science from IIT Dhanbad and extensive hands-on experience.

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31:T65e,

Are you feeling uncertain about your career path or facing obstacles that you can't seem to overcome? Discover a clear and actionable plan tailored just for you with my in-depth career guidance service.

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Get your resume reviewed to match the exact skills, tools, and tone your target industry expects. I’ll help you identify what’s missing, what to improve, and how to make your resume industry-ready for your next dream role.

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List of priority fixes (skills, structure, tone, missing projects)
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After purchase, download the ZIP file containing 5 editable resume templates (.docx & .pdf), an ATS tips guide, and a Do’s & Don’ts checklist.
Start by reading the guide to understand ATS scoring.
Pick a template based on your role, customize it using the tips, and check your final resume using tools like Resumeworded.
Apply confidently—your resume is now ATS-optimized and recruiter-ready!

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Expect business case and guesstimate questions — estimating a metric or explaining why a number changed — because analytics hiring in India tests business sense along with tooling. Being able to turn a chart into a clear business recommendation is often the deciding factor."},{"question":"What topics do MLOps interview questions usually cover?","answer":"MLOps interview questions typically cover CI/CD for machine learning, model versioning and registries, experiment tracking, data and model drift monitoring, and pipeline orchestration. You should also expect Docker, Kubernetes, and cloud services — especially AWS — since most production ML teams run on them. Candidates who can explain how they would take a model from a notebook to a monitored, automatically redeployed production pipeline stand out immediately."},{"question":"I have around 3 years of experience — what MLOps interview questions can I expect?","answer":"MLOps interview questions for experienced professionals go beyond definitions and focus on design and trade-offs — architecting training pipelines, GPU cost optimisation, scaling inference, handling data quality at scale, and debugging failures in production. Interviewers will dig deep into your past systems: why you chose Kubernetes, how you reduced cloud spend, how you set up monitoring and alerting. Prepare two or three detailed stories from your own work with measurable outcomes attached."},{"question":"How to switch from non-tech to data science?","answer":"It is very achievable, and many people in India make this move every year by following a structured path: build SQL, Python, and statistics first, then apply them to a project in your current domain so your work experience becomes an advantage instead of a gap. Roles like business analyst or data analyst are often the fastest bridge, and you can move deeper into data science or AI after a year or two. A step-by-step transition plan helps you avoid the most common mistake — random course-hopping without a target role."},{"question":"How do I write an ATS friendly resume for data and AI roles?","answer":"Use a clean single-column layout with standard section headings, and mirror the exact keywords from the job description — SQL, Python, machine learning, MLOps, and similar terms — because ATS software matches text before a human ever sees your resume. Quantify every bullet (for example, \"reduced processing time by 40%\") and avoid graphics, tables, and text boxes that confuse parsers. For AI and data roles specifically, lead with projects and tools, and get the resume reviewed against real job descriptions before you start applying."}]}}]] 22:null 32:T41e,https://topmate.io/cdn-cgi/image/width=1600,fit=contain,quality=90/https://res.cloudinary.com/topmate/image/upload/s--IJyRp54U--/c_fit,co_rgb:000000,g_north_west,h_500,l_text:Arial_130_bold:Lead%20Data%20Engineer%252FManager%20Prep,w_1300,x_350,y_380/c_fit,co_rgb:000000,g_north_west,h_100,l_text:Arial_55:Checkout%20my%20offerings%20and%20book%20a%20slot%20at,w_1500,x_350,y_920/c_fit,co_rgb:000000,g_north_west,h_1500,l_text:Arial_55:-%3E%20topmate.io%252F,w_1000,x_350,y_1000/c_fit,co_rgb:000000,g_north_west,h_1500,l_text:Arial_55_bold:abhishekraj_ai,w_1000,x_682,y_1000/c_fit,g_north_west,h_50,l_services_sharable:archive_munutl,o_100,w_50,x_350,y_215/c_fit,g_north_west,h_50,l_services_sharable:hash_mlchi8,o_100,w_50,x_800,y_215/c_fit,co_rgb:000000,g_north_west,h_100,l_text:Arial_55_bold:Package,w_850,x_425,y_220/c_fit,co_rgb:000000,g_north_west,h_100,l_text:Arial_55_bold:2%20sessions,w_850,x_880,y_220/c_fit,g_north_west,h_400,l_uploadtopmate:profilepics:abhishekraj_ai,o_100,w_400,x_1800,y_220/v1/services_sharable/share_base_vv5vv8.jpg?ogv=233:T41e,https://topmate.io/cdn-cgi/image/width=1600,fit=contain,quality=90/https://res.cloudinary.com/topmate/image/upload/s--IJyRp54U--/c_fit,co_rgb:000000,g_north_west,h_500,l_text:Arial_130_bold:Lead%20Data%20Engineer%252FManager%20Prep,w_1300,x_350,y_380/c_fit,co_rgb:000000,g_north_west,h_100,l_text:Arial_55:Checkout%20my%20offerings%20and%20book%20a%20slot%20at,w_1500,x_350,y_920/c_fit,co_rgb:000000,g_north_west,h_1500,l_text:Arial_55:-%3E%20topmate.io%252F,w_1000,x_350,y_1000/c_fit,co_rgb:000000,g_north_west,h_1500,l_text:Arial_55_bold:abhishekraj_ai,w_1000,x_682,y_1000/c_fit,g_north_west,h_50,l_services_sharable:archive_munutl,o_100,w_50,x_350,y_215/c_fit,g_north_west,h_50,l_services_sharable:hash_mlchi8,o_100,w_50,x_800,y_215/c_fit,co_rgb:000000,g_north_west,h_100,l_text:Arial_55_bold:Package,w_850,x_425,y_220/c_fit,co_rgb:000000,g_north_west,h_100,l_text:Arial_55_bold:2%20sessions,w_850,x_880,y_220/c_fit,g_north_west,h_400,l_uploadtopmate:profilepics:abhishekraj_ai,o_100,w_400,x_1800,y_220/v1/services_sharable/share_base_vv5vv8.jpg?ogv=2

Lead Data Engineer/Manager Prep with Abhishek Raj Permani

Abhishek Raj Permani

Lead Data Engineer/Manager Prep

What you'll get

About this package