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AI Engineer with less than a year in Agent Evaluation, LLM/RAG Systems, and Python Tooling
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Assessing your cultural and operational fit
AI Engineer specializing in Agent Evaluation, Observability, and LLM/RAG Systems with a strong background in Python and TypeScript tooling. Proven ability to transform chat assistants into robust product workflow infrastructures, improve system reliability, and optimize performance. Experienced in developing evaluation frameworks for AI/ML models, delivering significant cost reductions, and building full-stack AI solutions from ingestion to deployment.
Pulchowk Campus, Institute of Engineering
B.E. in Computer Engineering · Computer Engineering
January 1, 2024 – April 1, 2027
CareGene AI
Applied AI Engineer
March 1, 2026 – Present
Austin, Texas, United States
CareGene AI
AI/ML Developer Intern
November 1, 2025 – March 1, 2026
Austin, Texas, United States
Fusemachines
AI Fellow
May 1, 2025 – December 1, 2025
Kathmandu, Bagmati Zone, Nepal
Ops Diagnostic Agent
June 1, 2026 – Present
Compressed discovery for AI automation work by turning 10 file types into a cited, ROI-scored automation blueprint with bottlenecks, ranked opportunities, and fastest-win recommendations. Made agent outputs buyer-reviewable, not just plausible, by enforcing that every claim source round-trips to original text before the agent accepts the blueprint. Reduced production debugging time by adding Langfuse tracing/structured logs and fixing a 6-minute Postgres transaction failure; shipped with live WebSocket progress and 250+ tests.
View ProjectNutrition RAG Chatbot
June 1, 2026 – Present
Built an end-to-end RAG chatbot over a 1,000+ page textbook with PyMuPDF ingestion, six chunking strategies, all-mpnet embeddings, PostgreSQL + pgvector IVFFlat search, and Ragas evaluation at 0.90 context recall and 1.00 context precision.
View ProjectHugging Face AI Agents Course: ReAct, LangGraph, tool routing, Langfuse, GAIA benchmark agent; scored 55% vs 30% pass.
Hugging Face
June 1, 2026 – Present
DataCamp Containerization and Virtualization: Docker/container infrastructure track for production deployment.
DataCamp
June 1, 2026 – Present
Fusemachines AI Microdegree 2025: 6-month ML, DL, NLP, and MLOps intensive.
Fusemachines
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from healthcare AI to municipal complaint triage and personal diagnostic agents, indicates adaptability and a broad interest in applying AI solutions to various domains. Their experience at CareGene AI, a company focused on healthcare, aligns well with roles requiring a strong ethical compass and attention to detail. The involvement in both internship and full-time roles at the same company suggests a commitment to growth and learning within an organization. The candidate's proactive pursuit of certifications (Hugging Face AI Agents, Fusemachines AI Microdegree, DataCamp Containerization) demonstrates a strong drive for continuous learning and staying current with industry trends, which is a positive indicator for cultural fit in a fast-paced AI environment.
Soft Skills & Operational Fit
The candidate's resume demonstrates a strong focus on delivering production-ready solutions, emphasizing reliability, performance, and user trust. Their experience in building evaluation frameworks and operational quality gates suggests a methodical and quality-driven approach. The descriptions highlight problem-solving skills, particularly in optimizing existing systems and addressing complex challenges like PII/PHI sanitization and hallucination control. The candidate's work on multi-agent systems and complex data flows indicates strong system thinking and architectural understanding. The detailed project and experience descriptions suggest good communication skills in conveying technical achievements and impact.