Inside Eightfold.ai’s Agentic AI Internship Hiring Process (2026)
4 min read
The best way to predict the future is to invent it.
I build from zero to one. Known online as Mini Anon, I am a software engineer and AI builder who takes ideas to production at light speed. Having shipped high-performance systems as a Software Engineering Intern at Microsoft, I engineer full-stack applications—from visual workflow canvases to SaaS platforms featured at Times Square. I work across the entire product lifecycle, focusing less on stack debates and more on delivering products that solve real-world problems.
Professional Experience
Vitti Capital
Python Developer Intern
Mar 2026 – Present
- •Built a real-time options trading dashboard (OptionScope) using WebSockets, enabling sub-second tracking of prices, Greeks, and multi-leg strategies across 150+ symbols.
- •Designed a high-performance, serverless architecture with optimized data handling and edge rewrites, ensuring scalable, low-latency communication without backend overhead.
- •Developed an AI-powered market intelligence pipeline using LLMs to generate summaries, sentiment scores, and actionable insights from financial announcements in near real-time.
topmate.io
Industry Evangelist
Sep 2024 – Present
- •Delivered 300+ mentorship sessions helping students and developers improve resumes, prepare for technical interviews, and navigate software engineering careers.
- •Achieved Top 0.1% mentor ranking with a 4.67/5 rating, earning recognition such as People’s Choice and Community Care badges.
- •Provided personalized guidance on problem-solving frameworks, interview strategy, and confidence-building to improve interview readiness.
Microsoft
Software Engineering Intern
Jun 2025 – Aug 2025
- •Designed and built a shard-aware Kubernetes controller in Go to enable horizontal scaling of control-plane reconciliation workloads.
- •Improved reconciliation throughput by optimizing informer reuse and event-driven processing, reducing unnecessary API server calls.
- •Performed performance benchmarking and load testing on Kubernetes clusters to identify system bottlenecks and improve controller reliability.
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GitHub Contributions ● @TuShArBhArDwA
Stack I use
Technologies I work with to build products that solve real problems
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