Hands-on work spanning AI engineering, RAG pipelines, ML models, spatial data science, and embedded robotics.
Aug 2025 – Present · Hybrid01
Research Assistant (AI & RAG Systems)
Saint Louis University · St. Louis, MO
- Engineered an enterprise RAG (Retrieval-Augmented Generation) pipeline for automated HR compliance Q&A, leveraging FAISS for low-latency semantic vector retrieval across institutional policy documents.
- Integrated local, quantized LLM inference engines to ensure offline execution, complete data isolation, and strict compliance with confidential institutional privacy standards.
- Established multi-stage guardrail architectures using dynamic cosine similarity thresholds, curtailing hallucinations and out-of-domain queries by over 30%.
- Implemented automated citation validation algorithms to map generated answers directly to underlying policy documents, guaranteeing fully auditable, verifiable outputs.
- Built structured JSONL audit logging pipelines and observability monitors to track retrieval relevance, citation coverage, and latency metrics across complex edge-case evaluations.
PythonFAISSQuantized LLMsOffline RAGGuardrailsAudit Logging
Jul 2023 – May 2024 · Remote02
Data Scientist
Rabin Nirman Sewa · Kathmandu, Nepal
- Analyzed spatial, geographic, and field-survey datasets using Python and SQL to optimize transmission tower placement and right-of-way (ROW) clearance along complex terrain.
- Developed automated tracking pipelines and interactive operational dashboards (Power BI / Excel) to monitor material procurement, line stringing progress, and labor allocation across high-voltage distribution sites.
- Performed exploratory data analysis (EDA) on contractor delivery timelines and weather disruptions, improving project schedule forecasting accuracy and resource utilization by 15%.
PythonSQLSpatial AnalysisPower BIForecastingEDA
Jun 2024 – Jul 2024 · Hybrid / Remote03
Data Visualization & Project Management Intern
Excelerate & GlobalShala · Saint Louis University
- Collected, cleaned, and transformed raw digital marketing campaign datasets into interactive Power BI and SQL dashboards, delivering data-driven visual storytelling on engagement trends and KPIs.
- Coordinated multi-phase technical and marketing projects at GlobalShala, defining project scopes, tracking milestones, and presenting progress reports to senior leadership.
- Implemented automated validation and data-cleaning checks across sensitive datasets to ensure reporting accuracy and governance compliance.
Power BISQLData VisualizationProject ManagementKPI Dashboards
Dec 2022 – Jul 2023 · Hybrid04
Researcher & Data Analyst
Entegra Sources Pvt. Ltd. · Kathmandu, Nepal
- Cleaned, transformed, and mapped survey, transactional, and operational data into standardized relational schemas using Python (Pandas, SQLAlchemy) and SQL.
- Analyzed 5,000+ survey responses in SPSS and R (regression, ANOVA, chi-square) and authored statistical methodology and audit documentation.
PythonSQLRSPSSStatistical ModelingRelational Schemas
Aug 2018 – Oct 2022 · On-site05
Robotics Hardware Lead & Treasurer
Electronics Project Club · Kathmandu, Nepal
- Programmed microcontroller firmware (C/C++ & Python) for autonomous and remote-controlled robotics competing in inter-college engineering competitions.
- Designed and integrated sensor arrays (ultrasonic, IR, and IMU) to implement real-time obstacle detection, line tracking, and PID motor-speed control algorithms.
- Validated circuit schematics and hardware logic via simulation tools before prototyping and soldering custom PCB components, debugging edge-case sensor latency for robust performance.
C/C++PythonEmbedded SystemsPID ControlSensors & RoboticsPCB Prototyping
Graduated May 202601
M.S. in Analytics
Saint Louis University · St. Louis, MO
- Focus on machine learning, deep learning, statistical modeling, data warehousing, and LLM prompt engineering / agent architectures.
2017 – 202202
B.E. in Electronics & Communication
Tribhuvan University · Nepal
- Foundation in probability, statistics, signal processing, embedded microcontrollers, and digital hardware logic.
Professional Accreditations03
Certifications & Datathons
Industry & Research Credentials
- AI Engineer for Data Scientists Associate — DataCamp (PyTorch neural network architectures, custom loss functions, scikit-learn ML pipelines).
- Building with Claude & Anthropic API — Anthropic (Prompt caching, MCP tool integration, production evaluation loops).
- WashU I2DB Diabetes Risk Prediction Datathon — WashU Institute for Informatics & SLU (Built XGBoost + LightGBM ensemble, AUC 0.8520, Optuna, 59 clinical features, SHAP explainability).
- Microsoft Certified: Power BI Data Analyst (PL-300) — Microsoft.
