Governing emerging tech
Technology and public policy, privacy in the digital era, and the governance and security of AI systems — reasoning about how systems work and how they should be governed, not from one side only.
Security · Threat & Risk · Cyber & AI Policy
Technical depth and policy judgment — a pairing this field rarely finds.
I'm Chaanakya Seethala. I work where technical systems, security, regulation, and strategy converge — and translate that into decisions clients can act on. My foundation: two computer-science degrees and production engineering at UBS, BNY Mellon, and Chevron, plus a Master of International Business from The Fletcher School, Tufts University, with graduate study at the Harvard Kennedy School, Harvard University (2025–2026).
01 — FOCUS
What I work on
Cyber & AI Policy
Security, Threat & Risk
Mapping exposure
Modeling incident and threat patterns, mapping exposure, and turning analysis into action — supported by geospatial and intelligence analysis on real spatial problems.
Real Engineering
Reading the system
Production software at major firms means I understand the attack surface from the inside — how services communicate, where data is exposed, and how systems actually fail.
02 — APPROACH
What I actually do
I can read the code and the room.
Most people writing technology policy can't read the system. Most people who can read the system aren't in the room when the rules get made. I work in both places — translating between engineers, analysts, and decision-makers rather than speaking for one side.
My instinct isn't only to find the flaw, but to understand who it affects, what it costs, and how a design choice or a rule can reduce the damage. Technical credentials backed by delivery, not degrees alone.
03 — EXPERIENCE
Engineering, shipped
UBS
2024 · NY (Remote)
2024 · NY (Remote)
Full Stack Developer II
Worked on a derivatives system in the financial sector — Java and Spring Boot on a microservices architecture.
BNY Mellon
2023–24 · NY (Remote)
2023–24 · NY (Remote)
Full Stack Developer I
Built load-balanced web APIs with Node.js; Apache Kafka for event streaming and async messaging; MongoDB for unstructured data.
Chevron
2023 · TX (Hybrid)
2023 · TX (Hybrid)
Full Stack Developer I
Full-stack delivery on production systems — front-end interfaces, AWS deployment, and automated test suites for reliability.
Chico's FAS
2022–23 · Remote
2022–23 · Remote
Software Intern
Year-long engineering internship across the stack before contract roles at major firms.
Why it matters here: being brought in by firms like UBS, BNY Mellon, and Chevron to ship production software signals trusted, drop-in technical capability — and the financial-sector work connects directly to the financial-risk dimension of security and threat consulting.
04 — BACKGROUND
How I got here
M.I.B. · 2026
Fletcher, Tufts
Fletcher, Tufts
The Fletcher School, Tufts University
Master of International Business — a concentration in strategic global business consulting, with strategy, management, and international negotiation, proven on live client work.
Cross-Registrant
2025–2026
2025–2026
Harvard Kennedy School, Harvard University
Graduate coursework in technology and public policy, organizations management, and game theory and strategic decision-making — directly relevant to security, threat, and risk.
M.S. · 2022
Central Michigan
Central Michigan
Computer Science
A recent graduate-level deepening of the technical base — keeping it current and advanced.
B.Tech · 2020
JNTU Kakinada
JNTU Kakinada
Computer Science & Engineering
Studied at Aditya Engineering College (now Aditya University), affiliated to JNTU Kakinada. A full-spectrum foundation: theory, systems and architecture, networks and security, data, and AI.
The four steps look like a detour. They're not — together they're technical depth plus global policy and strategy, which is exactly where security and AI policy live.
Photo — to be added4:3 landscape
Photo — to be added4:3 landscape
05 — CAPABILITIES
What I bring to the table
Cyber & AI Policy
Tech & public policy, privacy, and the governance and security of AI systems.
Security, Threat & Risk
Mapping exposure, modeling threats, and decisions under uncertainty.
Geospatial & Intelligence Analysis
GIS and location intelligence — turning spatial data into operational insight.
Strategy, Consulting & Negotiation
Consulting craft proven on live client work — MBTA and Air India engagements.
Risk, Finance, Law & Governance
Reading the financial, legal, regulatory, and ESG dimensions of risk.
Data & Analytical Methods
Data science and algorithms on a two-degree computer-science foundation.
Beyond the work
See the personal side →