Operations leadership · Aerospace manufacturing · Applied AI
I build and scale complex operations.From national security institutions to satellite manufacturing.
I'm Mosa Rahimi—a Wharton MBA, Harvard MPA, and Amazon Leo leader. After two decades leading operations, policy, and strategy, I work at the intersection of aerospace production systems, operational strategy, and applied AI. AI and data science are how I sharpen operational systems—not a departure from them.
years across public service, policy, technology, and operations—now applied to AI
01 / 05
Based in the United StatesAmazon Leo · Project Kuiper
Systemsintointelligence.
Operations LeadershipChief of Staff & Executive AdvisoryStrategic SystemsPublic ServiceCross-Cultural LeadershipApplied AI & Data
Selected impact
Measured in outcomes.
The settings have changed—from border security to advanced manufacturing—but the work has remained consistent: make the system legible, align people, and move the mission forward.
01364K
units stowed
A record inbound stow, 40%+ above daily target
0270+
programs coordinated
Within a unit spanning 34 Afghan provinces
0312K
person border force
Scaled from 5,000 personnel
0440%+
faster reporting
Through reporting-workflow redesign across 34 provinces
AI
Why this expansion
Not reinvention for its own sake.A deliberate expansion of how I solve.
Operations taught me how large systems coordinate under pressure. Policy taught me how institutions shape outcomes. Strategy taught me where leverage actually lives. AI adds a new technical language—and a new set of consequential problems—at the intersection of finance, governance, and human-scale impact. None of this replaces operations leadership. It sharpens it.
Systems thinkingOperations strategyApplied data scienceMachine learning
The journey
One throughline.Many arenas.
In 1999, the workday started before sunrise on a tractor, in a field, with a classroom still years out of reach. What follows is twenty-six years of work and formal study placed on the same axis—concurrent, not sequential—showing exactly where the two overlapped: the learning never stopped, with or without a school attached to it.
Work / operational role Formal education Continuous learning
1999200220052008201120142017202020232026
Iran
Refugee Farm Laborer · Tractor Driver — dreaming of a classroom that felt out of reach
Working while earning the BBA
Working while earning the MBA / MPA
1999–2003
Kabul National Police Academy
Police Sergeant training (non-degree, ~6–9 mo)
2003
Afghan Border Police
Aide-de-Camp · Chief of Staff
2004–2008
U.S. Army Central Command
Cultural Adviser & Interpreter
2008–2010
American University of Afghanistan
BBA, Finance
2009–2013
DOJ / ICITAP
Adviser & Senior Program Assistant
2010–2014
Multiple roles (New York)
Bank teller · Translator · Warehouse · Cashier
2015–2016
CyraCom
Farsi–Dari Interpreter
2016–2018
The Wharton School
MBA — Finance, Analytics, Management
2019–2022
Harvard Kennedy School
MPA — Public Leadership, Policy, Technology
2019–2022
Refugee Investment Network
Summer Intern
May–Jul 2019
Dastranj
Founder (paused for aerospace focus)
2019–2025
Team Afghan Power
Development & Outreach MBA Intern
May 2020–Aug 2021
Harvard Kennedy School
Belfer Young Leader Fellow · ML TA
2021–2022
IncQuery
Survey Director
Sep 2023–Mar 2024
Amazon (Philadelphia)
SSD DC Area Manager II
2024–2025
Amazon Leo · Project Kuiper
Production Supervisor
May–Dec 2025
Amazon Leo · Project Kuiper
Coordination Supervisor
Dec 2025–present
Continuous learning
1999 – present
Self-directed growth running underneath every chapter above
Every entry above was preparation, not detour—each one built the same habit: walk into the room before the credential says you belong there, earn it anyway, then move toward the harder problem.
This timeline was never the whole story. It was the runway. The next step is the most meaningful one yet, and I'm ready for it.
01
Dec 2025 — Present
Amazon Leo (Project Kuiper)
Redmond, Washington
Coordination Supervisor
Coordinate satellite-manufacturing execution across the OTAC and Decks & Panels value streams, aligning production, quality, safety, and engineering through shift handoffs in a cleanroom aerospace environment.
Built operational tracking tools for labor contribution, MES analytics, and handoff continuity that remain in use across shifts.
Support production-readiness and NPI builds for satellite-constellation manufacturing.
Establish a dependable operating cadence that translates complex production requirements into clear, human-scale execution.
Translate shift-level production data into leadership-ready reporting used in operating-cadence reviews.
02
May 2025 — Dec 2025
Amazon Leo (Project Kuiper)
Redmond, Washington
Production Supervisor
Led back-half-night production across two facilities, transforming the department's lowest-performing shift into its strongest within five months.
Increased SSL and Zenith throughput by 10–15%, delivering 15–20 additional OTACs per cycle.
Reached production parity with 20–25% less headcount than peer shifts, saving 30–40 labor hours weekly.
Sustained the department's highest productivity ratio (0.7+) and onboarded 25+ manufacturing technicians.
Developed a leadership pipeline that resulted in a lead promotion and a technician-to-lead conversion.
03
2024 — 2025
Amazon
Philadelphia, Pennsylvania
SSD DC Area Manager II
Led high-volume inbound and outbound operations while building confidence, capability, and data fluency across frontline teams.
Raised a non-peak inbound record from 350K to 364K units—more than 40% above daily goal.
Turned outbound palletize into one of the network’s most consistent operations.
Built an hourly Excel performance tool and developed four process assistants.
04
Sept 2023 — Mar 2024
IncQuery
Philadelphia, Pennsylvania
Survey Director
Directed survey research design and administration.
05
2019 — 2025
Dastranj
Philadelphia, Pennsylvania
Founder
Built an end-to-end supply-chain venture connecting craft producers with global demand—an applied exploration of technology, computer vision, and demand forecasting in artisan markets. Paused the venture to focus fully on aerospace manufacturing.
06
2021 — 2022
Harvard Kennedy School
Cambridge, Massachusetts
Belfer Young Leader Fellow · Machine Learning Teaching Assistant
Researched international security and science policy while helping students connect machine-learning theory to working code and final projects.
07
May 2020 — Aug 2021
Team Afghan Power
Philadelphia, Pennsylvania
Development & Outreach MBA Intern
Helped shape a five-year micro-grid and internet expansion strategy for Afghanistan.
08
May 2019 — Jul 2019
Refugee Investment Network
Washington, D.C.
Summer Intern
Supported capital access initiatives for refugee entrepreneurs.
09
2016 — 2018
CyraCom
New York City
Farsi–Dari Interpreter
Served as the center’s sole in-house Farsi–Dari interpreter across law, finance, medicine, and emergency response; evaluated 100+ applicants, eliminated outsourcing costs, and supervised and mentored five new interpreters.
10
2015 — 2016
A new beginning
New York
Bank teller · Translator · Warehouse worker · Cashier
The transition period: rebuilding from the ground up in America while staying focused on education and the long horizon.
11
2010 — 2014
DOJ / ICITAP
Kabul, Afghanistan
Adviser & Senior Program Assistant
Served within the central unit that coordinated more than 70 capacity-building programs across 34 provinces and aligned 30+ government, diplomatic, and civil-society stakeholders.
Advised on efforts that reduced bureaucracy and overlapping projects by 20%.
Cut provincial reporting time by more than 40%.
Helped design strategic planning, international relations, and monitoring units.
12
2008 — 2010
U.S. Army Central Command
Kabul, Afghanistan
Cultural Adviser & Interpreter
Advised senior leaders on culture, law, and policy; interpreted daily for high-level delegations and taught leadership, anti-corruption, English, and technology.
13
2004 — 2008
Afghan Border Police
Kabul, Afghanistan
Aide-de-Camp · Chief of Staff
Supported the Director General as the force grew from 5,000 to 12,000 personnel across 19 provinces, 14 crossings, and four international airports.
Technical work
Something to examine.Not just a résumé.
AI companies, policy organizations, and technical recruiters need artifacts—not adjectives. Here is code, analysis, and work you can inspect before we talk.
A dual graduate journey at Wharton and Harvard built the bridge between markets, institutions, analytics, and public leadership.
W
2019 — 2022
The Wharton School
MBA
Finance · Business Analytics · Management
H
2019 — 2022
Harvard Kennedy School
MPA
Public leadership · Policy · Technology
A
2009 — 2013
American University of Afghanistan
BBA
Finance
K
2003
Kabul National Police Academy
Police Sergeant
Border Police
“
My story is a humble journey of survival and triumph over some of the toughest challenges refugees and ethnic minorities encounter every day.
Citizen by choice
Resilience is not a chapter. It is the operating system.
As a refugee child in Iran, I heard stories of technological progress over the radio. Years later, after serving at the center of Afghan public institutions, I came to America and started again—from minimum-wage work, without a professional support network.
I chose to share that transition, not hide it. It shaped how I lead: with empathy for the person behind the metric, respect for the invisible work, and the conviction that capability is often waiting for opportunity.
01
Family portraitIran · The early years
02
Growing up togetherIran · Family archive
Before the boardrooms, institutions, and operations floors, there was family—the first system of resilience, responsibility, and hope.
The man who made the dream possibleA refugee farmer · A father who chose school
Story 02 · The first opportunity
Before I had a dream,my father made room for one.
Many refugee children around me left school during middle school to help their families survive. My father was a refugee farmer, and sons were expected to help win bread. He refused to let that expectation end our education. He sent me to school.
I had no dream without his decision. Because he protected my chance to learn, I finished high school. Everything that followed—AUAF, Wharton, Harvard, and the systems and AI work I do today—started with his sacrifice.
College was not in the cards.I refused to stop dreaming.
The chance of going to college felt nonexistent. So I worked night and day—through dust, grease, fields, and machines—while holding onto a future no one around me could promise.
The work covered my clothes. It never touched the dream.
Work was the reality.Long days · No shortcuts
College was the dream.Out of reach · Never out of sight
NIGHT / DAY
11years
Story 04 · Service under fire
I put my life on the line.The dream was bigger than the danger.
For eleven years, service meant accepting real risk—from border provinces to counter-narcotics missions across Afghanistan. Every journey carried uncertainty, but the dream was never only personal: a safer, stronger future built through institutions that could truly serve people.
The danger was real. So was the future I could see beyond it.
Mission south · In the field
Eleven years · One purpose
Risk shared · Mission forward
20042014
Story 05 · The long road to the classroom
In 1999, college was impossible.In 2022, I graduated from Wharton and Harvard.
23years from dream to dual degrees
There was no straight line—only work, service, migration, restarting, and the decision to keep going. The journey moved through the American University of Afghanistan and, eventually, two graduate programs at Wharton and Harvard Kennedy School.
Distance is not destiny. Sometimes the longest road produces the clearest purpose.
AUAFBBA · Finance · 2013
WhartonMBA · 2022
The moment afterA dream shared
Harvard Kennedy SchoolMPA · 2022
1999 The dream2013 AUAF2022 Wharton + HKS
Across cultures
Farsi Native
English Full professional
Pashto Professional working
Featured coverage
The story,on record.
NBC10 Philadelphia documented two defining moments: fighting to bring family to safety and, after escaping the Taliban, choosing to step forward publicly.
A career you can question.A history worth understanding.
An experiment in applied AI—the same curiosity I bring to manufacturing systems. Explore Mosa's path from refugee childhood and Afghan public service to Wharton, Harvard, Amazon Leo, and a deliberate expansion into AI. You can also ask about Hazara history, identity, culture, and the challenges facing the community.
Grounded, not improvised
Career answers use Mosa's documented public profile. Hazara answers are instructed to distinguish lived experience from sourced history and include citations.
I’m Mosa’s AI Digital Twin. Ask me about his career journey, leadership experience, education, technical work, or the history and culture of the Hazara people.
AI-generated answers grounded in Mosa's public profile and curated sources. This is not Mosa speaking live.
For aerospace operations and strategic leadership teams
Examine the work.Then let's talk.
I'm exploring roles at the intersection of aerospace operations, manufacturing leadership, and strategic advisory. Start with the experience above—or reach out directly if you see a fit.
