0+
LeetCode
GenAI & ML Engineer · 2026
Engineers build models. Analysts read dashboards. The value leaks in between — that gap is where I've decided to spend my career. I'm a Computer Science graduate (VIT-AP '26) and GenAI & ML engineer, now pursuing an MBA in Business Analytics at BITS Pilani and an MS in Data Science at IIIT Hyderabad in parallel — fluent on both sides of the table where models meet business impact.
At a glance
0+
LeetCode
0+
DSA Solved
0+
Projects
3★
CodeChef
0+
Skills
0+
Live SaaS
0+
Certs
Education
Full timelineBITS Pilani · Master of Business Administration
IIIT Hyderabad · Master of Science
VIT AP · Bachelor of Technology
Featured Work
All projectsCompetitive programming signals, active platforms, and public proof of work.
2400+ • Guardian
LeetCode
LeetCode
Expert algorithmic proficiency with Guardian rank among the top 1% of global coders.
Visit profile ↗3★ • 1600+
CodeChef
CodeChef
Consistent performance in long and short format competitive programming contests.
Visit profile ↗1000+ problems solved
LeetCode Streak
LeetCode Streak
Dedicated daily problem-solving regimen maintaining high analytical momentum.
Visit profile ↗Active
InterviewBit
InterviewBit
Mastering complex data structures and curated interview patterns.
Visit profile ↗Active
TakeUForward
TakeUForward
Deep-diving into high-level DSA concepts and technical interview preparation.
Visit profile ↗Active
Codeforces
Codeforces
Engaging in rapid problem-solving and real-time algorithmic competitions.
Visit profile ↗Global Rank
Codolio
Codolio
Unified analytics dashboard showcasing global programming footprint.
Visit profile ↗Research Interests
Topics that consistently shape the projects, essays, and systems thinking across the portfolio.
Orravyn: LLM-Powered Research Platform
GitHubRight Now
MBA
Business Analytics @ BITS Pilani
MS
Data Science @ IIIT Hyderabad
Applying
Turning models into decisions — Power BI, SQL, Python, R
Building
Agentic AI systems, RAG pipelines & LLM eval harnesses
Certifications
Latest Writing
All postsAugust 2026 was the month the AI business stopped being a projection. Anthropic posted more than $11.5B in quarterly revenue and the first operating profit in frontier AI. The EU AI Act became fully enforceable on August 2, with real fines attached. Salesforce made its CRM a plugin inside Claude. Google shipped Managed Agents and Antigravity into public preview. And Anthropic's Model Hardware Standard pointed agents at microscopes and robotic arms. Here's what mattered for builders — and for the people who have to justify the spend.
June 2026 was the month the agent story split cleanly into two tracks: the technology kept compounding, and the business finally caught up to it. OpenAI shipped GPT-5.6 with a model card and a Codex-native release. Anthropic pushed its Mythos preview wider and took Claude Code's Dynamic Workflows to GA. WebMCP jumped past Chrome. And underneath it all, the money moved — record funding, enterprise seat expansions, and the first real agent-governance regulation. Here's what mattered for builders and for the people who fund them.
Most analytics stacks generate dashboards nobody opens. This is the product-builder's guide to doing it right in 2026 — a clean event taxonomy, a North Star you can defend, the modern warehouse-to-BI pipeline, the trust problems that quietly kill adoption, and where AI copilots actually help. Built for people who ship products, not just charts.
Let's connect
Use the route that fits the conversation: email for real work, LinkedIn for context, GitHub for proof, and the resume for a fast summary.
Best for projects, consulting, and direct collaboration.
↗LinkedInProfessional contextRoles, introductions, and background at a glance.
↗GitHubCode and shipped workRepos, experiments, architecture, and implementation depth.
↗ResumeOne-page snapshotQuick scan of skills, projects, and current direction.
↗