Career Timeline

Work Experience

3+ years of production software engineering across national-scale systems, AI engineering, academic research, and cloud data pipelines.

University of New Haven — Market Mind Project
Aug 2025 – Present
Research Assistant · AI-Driven Decision Support for Higher Ed Recruitment
West Haven, CT  ·  Advisors: Dr. Ardiana Sula, Dr. Muhammad Aminul Islam
Python Scikit-Learn Pandas FastAPI NextJS TF-IDF / NLP
  • Co-developed an AI-driven MVP platform converting raw ad campaign data (Google, Meta, Bing, LinkedIn) and CRM records (9,000+ inquiries) into enrollment intelligence for university marketing teams.
  • Built and validated 5 ML models (regression + classification) for ad performance prediction, content scoring, keyword ranking, and CRM funnel conversion (AUC up to 0.81).
  • Led Phase 2 validation effort: reproduced Phase 1 benchmarks exactly, ran gap analysis on new campaign data, and authored data pipeline recommendations adopted for Phase 3 roadmap.
Webstars LLC / AI Trusted Advisors
Dec 2025 – May 2026
AI Engineer Intern
Remote, USA
Python Voice AI AI Agents MCP LangChain ReactJS NodeJS Agile
  • Designed and developed custom Voice AI agents and MCP platform solutions to support client acquisition, internal automation, and partner integrations for a U.S.-focused AI advisory startup.
  • Built backend infrastructure for agent/partner access portals, including usage tracking, billing, and platform reliability; responsible for weekly backups and outage response.
  • Developed AI-powered cold outreach automation with A/B testing pipelines targeting 50,000–100,000+ emails/month, and built social media AI agents across LinkedIn, Reddit, Instagram, and TikTok.
YCO Pvt. Ltd. — NEPSE Project
Jun 2023 – Jun 2024
Software Development Engineer in Test (SDET)
Kathmandu, Nepal
Python Selenium JMeter Burp Suite Postman MSSQL Scrum
  • Improved software performance by 50% through full automation testing (functional, regression, performance) across a microservices-based Fund Management and Trade Management System for Nepal's national stock exchange.
  • Acted as Product Owner: owned QA backlog, prioritized features across 3 cross-functional teams, and conducted RCA investigations that cut recurring production incidents by ~40%.
  • Contributed to API design reviews and security assessments using Burp Suite, identifying vulnerabilities before production release.
  • Participated in software architecture discussions and system optimization initiatives for high-availability trading infrastructure handling thousands of concurrent transactions.
View Detailed NEPSE Projects
YCO Pvt. Ltd. — NEPSE Project
Oct 2021 – Jun 2023
Promoted from Intern → Trainee → Associate SDE
Associate Software Development Engineer
Kathmandu, Nepal
Java Spring Boot Angular MSSQL Redis Docker BIRT Jasper
  • Implemented High Availability (HA) multi-server architecture for nepalstock.com using Spring Boot, boosting system reliability and driving a 30% improvement in user engagement under peak-traffic loads.
  • Refactored and secured Role-Based Access Control (RBAC) logic for Nepal's national stock exchange website, improving user permission management and reducing unauthorized-access risk.
  • Engineered Redis caching layer for frequently accessed endpoints, measurably reducing database load and cutting average response times for real-time data feeds.
  • Designed and optimized SQL stored procedures for high-throughput data retrieval, supporting API development and real-time user-facing applications at national scale.
  • Containerized and deployed microservices using Docker; developed custom BIRT and Jasper reports replacing manual stakeholder reporting workflows.
Motorable Local Roads Bridge Program (MLRBP)
Apr 2024 – May 2024
Freelance Full-Stack Web Developer
Lalitpur, Nepal  ·  webmap.lrbpnepal.org
ReactJS NextJS React-Leaflet GeoJSON MariaDB Docker MS Excel
  • Designed and built an end-to-end interactive geospatial web application visualizing 1,000+ bridge projects nationwide for Nepal's national bridge infrastructure program.
  • Implemented dynamic map rendering using React-Leaflet and GeoJSON for intuitive, filterable geographic data exploration across all provinces.
  • Engineered MariaDB backend with optimized schemas for large-scale bridge datasets, ensuring fast query response times for real-time updates.
  • Containerized the full application stack with Docker, streamlining deployment across development and production environments.