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Mounusha25/README.md
Mounusha Ram Metti cover

👋 Hello, I'm Mounusha


Data Scientist  •  ML / GenAI Engineer
Sustainability & Water Tech

Building agentic AI, GenAI, and forecasting systems — grounded in a Civil & Environmental Engineering foundation in water and sustainability.


🎓 MS Data Science @ Arizona State University (Dec 2026) - 4.0 GPA
🔬 Data Science Researcher @ ASU
💡 Built: 20+ ML & Agentic AI Systems — from GenAI marketplaces to accessibility-focused speech AI

🚀 Availability Phase


Seeking full-time roles starting December 2026

CPT/OPT

Tempe

LinkedIn   Portfolio   Resume   LeetCode   Email


🚀 Currently

Track Status
🔨 Building Video RAG (ShotSpot) for semantic search and context-aware Q&A over video content
📖 Learning Agentic AI workflows, MLOps practices, production-grade evaluation
💼 Internship / Co-op 🟢 Available immediately
🎯 Full-time 🟡 Available December 2026

🧠 Languages & Tools

Data Science & Machine Learning

Data Analytics & Visualization

Data Engineering & Infrastructure

Cloud & Full Stack

Development Tools & Automation

Sustainability & Environmental


💼 Professional Experience

🔬 Machine Learning Engineer | IoT Data & Analytics   ASU

🗓️ Oct 2025 – Present   |   📍 Tempe, AZ

  • Built a production IoT platform for 9 stations, 14 sensor parameters, and 1.58M+ records.
  • Achieved 99.9997% ingestion success with idempotent batching and automated reconciliation.
  • Tracked 132 MLflow runs across 5 anomaly-model families, reaching 0.80 F1 and 0.85 recall.
  • Cut fleet-wide retrieval from hours to under 2 seconds; delivered the platform for active SRP use.

Skills: Python · Machine Learning · MLflow · FastAPI · TimescaleDB · AWS

🌊 Data Scientist | Geospatial & Infrastructure Analytics   ASU

🗓️ Feb 2025 – Oct 2025   |   📍 Tempe, AZ

  • Automated a federal-data ELT pipeline, reducing processing time by 60%.
  • Optimized traversal of a 1.07M-node river graph from 95 seconds to 12 seconds.
  • Modeled flow for 337K ungauged river reaches with Gradient Boosting, achieving 0.87 R².
  • Engineered geospatial features used by 3 research groups for infrastructure-risk analysis.

Skills: Python · scikit-learn · ArcGIS Pro · QGIS · ETL · Graph Algorithms

⚙️ Software Engineer Intern | Machine Learning & Analytics   AWL Metaverse Pvt. Ltd.

🗓️ May 2024 – Dec 2024   |   📍 India

  • Delivered production AI and backend features for a 5,000+ user learning platform.
  • Improved retention prediction by 18% using logistic regression and XGBoost on 500K+ records.
  • Deployed a LangChain and OpenAI RAG assistant that reduced support tickets by about 30%.
  • Cut PostgreSQL p99 latency by 40% and ingestion errors by 80% on AWS.

Skills: Python · FastAPI · XGBoost · LangChain · RAG · PostgreSQL · AWS

📈 Marketing & Data Analytics Intern   Dharte Inc.

🗓️ May 2023 – Aug 2023   |   📍 India

  • Analyzed 25K+ campaign interactions across 3 channels using SQL and Python.
  • Reduced weekly reporting from 3–4 hours to about 1 hour with automated data pipelines.
  • Built 2 Tableau dashboards tracking 8 acquisition, funnel, and experimentation KPIs.
  • Measured a 15% relative CTR lift through an A/B test involving 3K+ visitors.

Skills: SQL · Python · dbt · Tableau · Excel · A/B Testing


🗂️ Featured Projects

🚚 FoodPilot AI  ✅ Active

AI-native food-truck marketplace spanning 107 trucks and 635 menu items. A 4-tier stack (Next.js, Spring Boot gateway, FastAPI/LangGraph AI service) powers an AI Concierge, a structured-output Order Builder, and an Owner Copilot for sales and complaint analysis.

Focus: Agentic AI · Full-Stack AI Product · Tool-Calling
Tech: Next.js · Spring Boot · FastAPI · LangChain/LangGraph

🩺 TrustMed-AI  ✅ Complete

Agentic medical RAG platform indexing 9K+ medical chunks with FAISS and cross-encoder reranking, plus a 3-step ReAct trace for auditable answers. Benchmarked across 100 prompts and 5 medical domains for grounded accuracy.

Focus: Medical RAG · Agentic AI · Healthcare
Tech: ChromaDB · FAISS · LangChain · Next.js

👗 StyleNova-AI  ✅ Complete

Fashion computer-vision and hybrid recommendation engine combining CLIP embeddings with cold-start-aware weighting. Reaches 0.73 Precision@10 and 89% catalog coverage, with GPT-4o-mini explaining every recommendation.

Focus: Computer Vision · Recommender Systems
Tech: PyTorch · CLIP · FastAPI · Next.js

☸️ KubePulse  ✅ Complete

AIOps anomaly detector polling Kubernetes pod memory every second, using an LSTM + LightGBM hybrid to forecast failures before they happen. A custom Go Prometheus exporter feeds predictions into the autoscaler, with LLM-generated remediation commands.

Focus: AIOps · Kubernetes · SRE
Tech: TensorFlow · LightGBM · Go · Prometheus

🌊 DO Sentinel  ✅ Active

End-to-end dissolved-oxygen forecasting and sensor-fault triage across 14 USGS stream sites in 11 states. Per-site gradient-boosting models reduced forecast error by 25% at 6 hours, while a cost-aware alert layer warned of 80% of low-oxygen events at very low alert volume.

Focus: Environmental ML · Time-Series Forecasting · Sensor Analytics
Tech: Python · scikit-learn · FastAPI · Docker · GitHub Actions

🛒 GenAI Retail Forecast  ✅ Active

Retail demand forecasting across 1,115 stores. BigQuery ML ARIMA_PLUS models generate 33,450 30-day forecasts, benchmarked at 16.92 MAPE versus 21.91–24.74 for baseline models, delivered through a FastAPI backend and Streamlit dashboard.

Focus: Time-Series Forecasting · Data Science
Tech: BigQuery ML · FastAPI · Streamlit · Python


🌟 Extracurriculars & Certifications

✊🏼 Leadership & Service


  • ASU
  • ASU
  • IIT KGP

📜 Professional Accolades


IBM Data Science

Deep Learning Specialization
DeepLearning.AI
CNNs RNNs NLP
Optimization for real-world AI systems

🎙️ Tech Conferences


GHC

Developer Week

StepSF

Databricks Summit


📈 GitHub Activity

Contribution Graph
GitHub Streak



contribution snake

"Let's connect if you're building at the intersection of data, AI, and sustainability." 🌍
Always open to collaborating on projects that matter.


Pinned Loading

  1. StyleNova_AI StyleNova_AI Public

    Fashion computer-vision + hybrid recommendation engine combining CLIP visual embeddings, TF-IDF content similarity, and collaborative kNN with adaptive cold-start weighting. Precomputed 512-dim emb…

    Python

  2. foodpilot-ai foodpilot-ai Public

    AI-native food-truck marketplace spanning 107 trucks, 635 menu items, and 2,622 modifiers across a 4-tier stack (Next.js, Spring Boot gateway, FastAPI/LangGraph AI service). Features an AI Concierg…

    TypeScript

  3. Kube_Pulse Kube_Pulse Public

    AIOps anomaly detector polling Kubernetes pod memory every 1 second, using a TensorFlow LSTM + LightGBM hybrid to forecast breaches before they happen. A custom Go 1.22 Prometheus exporter feeds pr…

    Python

  4. Aria_VisionAI Aria_VisionAI Public

    Voice-first agentic desktop assistant with a LangGraph supervisor routing requests across 5 specialized agents (Commerce, General, Coding, Desktop, Documentation) at sub-1-second latency. PII-aware…

    TypeScript

  5. swiggy_analysis swiggy_analysis Public

    Food-delivery market-intelligence system built on 197,430 orders across 10 fields, answering 5 strategic questions on expansion, churn, and demand. Custom 0-100 City Expansion Opportunity Index and…

    Jupyter Notebook 1

  6. DO_sentinel DO_sentinel Public

    Dissolved-oxygen forecasting, sensor-fault detection and alert triage on public USGS stream data. Calibrated 1–24 h forecasts, honest baselines and confidence intervals, FastAPI service, interactiv…

    Python 1