Software development engineer
I am a Software Development Engineer at Target India, where I work on the ML Platform team, building the infrastructure and developer tools that power machine learning across the organization. My work involves developing backend services, Python SDKs, platform capabilities, and automation that enable data scientists and engineers to build, deploy, and manage machine learning models at scale. Working in a large-scale retail environment has given me hands-on experience in designing reliable software, solving complex engineering challenges, and building systems that are scalable, efficient, and developer-friendly. Through my mentorship on Elvatu, I help aspiring and early-career software engineers bridge the gap between academic knowledge and real-world software engineering. Whether you're preparing for software engineering interviews, strengthening your Python or backend development skills, learning system design, exploring ML Platform and MLOps concepts, or navigating your first role in tech, I provide practical guidance rooted in real industry experience. My goal is to help you develop the mindset of a strong software engineer—breaking down complex problems, writing clean and maintainable code, understanding scalable architectures, and making confident technical decisions. Together, we'll create a structured roadmap that accelerates your growth and prepares you for long-term success in the software industry.
Target
2025-07 – Present
Each session is tailored to your specific needs. We'll discuss your goals upfront, and I'll provide actionable advice, resources, and follow-up materials.
Based on candidate readiness and fit, I may choose to provide professional recommendations or introductions within my network after working together. This is not guaranteed and depends on team openings, fit, and your performance during our sessions.
Share your resume, LinkedIn, and specific questions/goals at least 24 hours before the session so I can prepare personalized advice.
You can reschedule up to 24 hours before the session. Cancellations made less than 24 hours in advance are non-refundable.
Identity, employment, and background verified. Money-back guarantee if session doesn't happen.
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