Attronica Externship via ExternI turn hands-on experience into clearer career direction, learning by doing and refining skills for professional roles.
A selection of the hands-on work and exercises I completed while developing skills and testing career directions.
Built Robin, a local AI voice assistant in Python powered by OpenAI APIs and a LiveKit real-time voice architecture Implemented wake-word detection and MCP tool-calling so Robin can take actions, set reminders, and run tasks by voice Packaged Robin as a desktop system tray app and deployed a cloud version on Vercel for seamless access across devices
Built a Monte Carlo risk engine in Python that simulates 10,000 correlated price paths for a multi-asset options portfolio Repriced each position on every path with Black-Scholes and implied volatility to report VaR, CVaR, and profit odds Validated the model with 160+ automated pytest tests, including put-call parity and convergence to Black-Scholes prices
I turn hands-on experience into clearer career direction, learning by doing and refining skills for professional roles.
I am Hidhir A. I have some practical work experience and I am exploring the next steps as I move toward a formal career start. I focus on building skills and small projects to prepare for longer-term roles.
Externships
Attronica Financial Planning & Analysis and Private Company Valuation Externship
In progress
Experience
Financial Planning & Analysis Intern
Attronica Computers, Inc. · Sep 2026 - Present
Marketing Intern
ClearDhan · May 2026 - Sep 2026
Lifeguard
Six Flags Hurricane Harbor · May 2026 - Aug 2026
Private Equity Intern
Project Destined · Jun 2026 - Jul 2026
Education
Rutgers University - New Brunswick, Rutgers Business School
Bachelor of Science, Finance & Computer Science
Skills
Built Robin, a local AI voice assistant in Python powered by OpenAI APIs and a LiveKit real-time voice architecture Implemented wake-word detection and MCP tool-calling so Robin can take actions, set reminders, and run tasks by voice Packaged Robin as a desktop system tray app and deployed a cloud version on Vercel for seamless access across devices
Built a Monte Carlo risk engine in Python that simulates 10,000 correlated price paths for a multi-asset options portfolio Repriced each position on every path with Black-Scholes and implied volatility to report VaR, CVaR, and profit odds Validated the model with 160+ automated pytest tests, including put-call parity and convergence to Black-Scholes prices
✅ Verified by Extern · ⏱️ In progress
A 40-year-old, $80M family-owned IT firm is preparing to sell — and they need real FP&A work to back it: clean financials, a defensible forecast, and a valuation. Organize the books, model the forecast, and deliver a valuation that lands on the CEO's desk and on a buyer's table.
The project audited and reorganized historical financial records, constructed a multi-year forecast model, and produced a valuation for a mid-size, family-owned IT company preparing for sale. The work reconciled prior statements, adjusted reported results for one-time items, and delivered a valuation model and supporting schedules.
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I worked through the externship tasks to prepare financials, build a forecast model, and produce a valuation, documenting assumptions and reconciliations for each deliverable.
