Full-Stack Engineer/ software engineer

KEERTHANA BHUKYA

Gmail GitHub San Francisco +1-209-***-**** LinkedIn

TECHNICAL SKILLS

Languages: Python, TypeScript, Bash

ML & AI: PyTorch, LangChain, Transformers, Reinforcement Learning, Multi-Agent Systems, LLM Applications System Architecture: FastAPI, React.js, Real-time Systems, System Design, Full-Stack Development Autonomous & Strategic: Game Theory, Decision Systems, Multi-Agent Coordination, Adversarial Analysis Infrastructure: AWS (EC2, Lambda, S3), Docker, PostgreSQL, Vector Databases EXPERIENCE

Research Assistant – Software & AI Systems University of the Pacific Jan 2025 – Present

• Built full-stack analytics platform (Python/MongoDB) for developer tooling (ReleaseTrain.io); designed REST APIs enabling data-driven release decision workflows,

• Developed NLP/LLM pipelines processing 10k+ developer feedback records; delivered sentiment analysis, topic modeling, and time-series forecasting for engagement strategy

• Mentored junior researchers on ML pipeline architecture and best practices Teaching Assistant – Mobile and Cloud Security University of the Pacific, Spring 2026 – Present

• Mentored 70+ students in Data Structures, Discrete Mathematics, and system design; led exam reviews

(100+ attendance) achieving 11% score improvement vs peer sections

• Designed computational thinking framework emphasizing design patterns for complex systems Software Engineering Intern DXC Technology, May 2023 – Dec 2023

• Built enterprise backend systems with automated SQL pipelines and batch optimization for mission-critical workflows

• Ensured production reliability across legacy (DB2) and modern databases; improved CI/CD deployment automation

PROJECTS

Agentic AI Threat Detection & Autonomous Response System Jan 2026 – Present

• Engineered full-stack autonomous agent system reducing incident response time by 73%; React dashboard

FastAPI orchestration PyTorch RL models AWS deployment

• Built LSTM/transformer-based threat engine forecasting zero-day exploits 48 hours in advance via behavioral anomaly detection

• Implemented multi-agent coordination framework for autonomous threat investigation and cross-layer containment without human intervention

Tech: Python, PyTorch, LangChain, Reinforcement Learning, FastAPI, React.js, AWS, Docker Game Theory & Strategic Analysis of APT Lateral Movement Feb 2026 – Present

• Formulated complete-information game model analyzing attacker-defender interactions; built 4 4 payoff matrix and Nash equilibrium solver for optimal cybersecurity strategies

• Identified dominant defender postures (monitoring, honeypots, network segmentation) against attacker strategies (stealth, rapid movement, crown jewel targeting, persistence)

• Demonstrated game theory application to autonomous decision systems in multi-agent adversarial environments

Tech: Python, Game Theory, Linear Algebra, Computational Analysis PUBLICATIONS & LEADERSHIP: SDIoTSec 2025; Procedia Computer Science (Elsevier)/ VP, WiCSE

(1,200+ members); AWS re:Invent 2025 Scholar

EDUCATION

University of the Pacific Stockton, CA

M.S. in Computer Science (AI & ML Concentration) GPA: 3.75 / 4.0 Expected May 2026

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