Mithun Shivakoti
Available May 2026·Full-time · Research · OPT/STEM Ready

Hi, I'm

Mithun Shivakoti

Data Scientist & ML Engineer · ICLR · NeurIPS · IJCAI · ASU '26

MS
Mithun Shivakoti
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About me

Who I Am

I'm a Data Science grad student at Arizona State University (graduating May 2026), with research published at ICLR, IJCAI, and NeurIPS — and hands-on production experience deploying ML systems at scale.

From shipping a DistilBERT voice-AI classifier at under 100ms latency, to building a RAG system serving 50,000+ businesses, I bridge the gap between research and real-world impact.

I'm actively looking for full-time Data Scientist and ML Engineer roles. Authorized to work in the US on OPT (STEM OPT eligible).

11+

Papers Published

4

Internships

May 2026

Graduating

OPT / STEM

Work Auth

Work

Experience

Industry internships and research positions.

Artificial Intelligence Intern

DriveHealth

InternshipMay 2025 – Aug 2025

Gilbert, United States

  • ▸Deployed a DistilBERT-based NLP model for voice AI classification achieving 98% accuracy with less than 100 ms inference latency in production.
  • ▸Integrated Human-in-the-Loop validation pipelines using Argilla and Label Studio, reducing model iteration cycles and improving annotation throughput.
  • ▸Redesigned backend architecture by extracting user operations into a dedicated microservice with secure TCP communication and database isolation, enabling independent scaling and improved maintainability of the core ML platform.
DistilBERTPythonArgillaLabel StudioFastAPIDocker

Software Development Engineer Intern

SignalX

InternshipJan 2024 – Jun 2024

Hyderabad, India

  • ▸Built an OCR model to automate captcha solving, scaling throughput from 70,000 to 700,000 daily.
  • ▸Engineered an adverse media classification module (96% accuracy), improving corporate risk analysis speed.
  • ▸Automated summarization of 30+ page reports into 1-page briefs, cutting analysis time by 90%.
  • ▸Built and deployed a RAG system integrating Gemini 1.5 (GCP) and GPT-4 with vector-based document retrieval, delivering regulatory compliance assistance to 50,000+ businesses.
PythonOCRRAGGemini 1.5GPT-4GCPLangChainPostgreSQL

Machine Learning Engineer Intern

TE Connectivity

InternshipOct 2022 – Aug 2023

Bengaluru, India

  • ▸Developed regression-based optimization pipeline (GPR + Ridge + ElasticNet) reducing signal loss to below 1%.
  • ▸Designed modular experimentation pipelines improving reproducibility and accelerating model validation.
PythonScikit-learnGPRRidge RegressionElasticNetMLflow

Junior Machine Learning Engineer Intern

Omdena

InternshipJan 2023 – Mar 2023

Colombo, Sri Lanka

  • ▸Developed and evaluated supervised classification models for early autism risk detection using structured clinical data, achieving over 96% validation accuracy through feature engineering and cross-validation.
PythonScikit-learnFeature EngineeringCross-ValidationPandas

Background

Education

Arizona State University

Master of Science in Data Science

Aug 2024 – May 2026

Tempe, AZ

GPA3.96 / 4.00

Relevant Courses

Machine LearningDeep LearningNatural Language ProcessingStatistical MethodsData MiningBig Data Systems

Vellore Institute of Technology

Bachelor of Technology in Computer Science (AI)

Sept 2020 – May 2024

Vellore, India

GPA9.12 / 10

Relevant Courses

Artificial IntelligenceMachine LearningComputer VisionData StructuresDatabase SystemsDeep Learning

Recognition

Achievements

Competitive accolades from national and international hackathons.

🏆

Winner — Smart India Hackathon 2022

Top 1% from 200,000+ students nationwide.

🌏

Finalist — Singapore India Hackathon 2023

1 of 24 students selected from 200,000+ across India.

🌍

Finalist — UNESCO India Africa Hackathon 2022

1 of 200 students selected from 200,000+ across India.

🥈

Runner Up — Signal Integrity Optimization Contest 2023

2nd Prize among teams across India.

⭐

Top 15 / 500+ Teams — Engineering Clinics 2022

1 of 90 students selected from 3,000+ at VIT.

Research

Publications9

ICLR2025Featured

Abg-SciQA: A Dataset for Understanding and Resolving Ambiguity in Scientific Questions

T Chen, KR Liou, Mithun Shivakoti, A Gaur, P Kumari, M Guo, H Wei

NLPLLMAmbiguity DetectionScientific QA
IJCAI2025Featured

DeepShade: Enable Shade Simulation by Text-conditioned Image Generation

L Da, X Liu, Mithun Shivakoti, TP Kutralingam, Y Yang, H Wei

Diffusion ModelsComputer VisionUrban AIImage Generation
NeurIPS2025Featured

ShadeBench: A Benchmark Dataset and Method for Shade Simulation in Sustainable Society

L Da, X Liu, Mithun Shivakoti, TP Kutralingam, Y Yang, H Wei

BenchmarkUrban AISustainabilitySmart Cities
IEEE2024

KNOXRT: Knowledge-Networked Optimization for eXploratory Real-time Training

S Mishra, K Jeeveth, Mithun Shivakoti, V Aravindan, R Singh

Deep LearningCybersecurityCNNReal-Time
Book Chapter2024

A Comparative Study on Prediction of Soil Health and Crop Recommendation Using Machine Learning Models

Mithun Shivakoti, RK Srinivasa

Agriculture AISupervised LearningCrop Prediction
EAI2023

Prognoza: Parkinson's Disease Prediction Using Classification Algorithms

Mithun Shivakoti, SC Medaramatla, D Godavarthi, N Shivakoti

Healthcare AIClassificationNeurology
Conference2023

An Enhanced Laryngeal Tissue Classification Model Using Deep Learning Techniques

Mithun Shivakoti, SC Medaramatla, K Jeeveth, K Srinivasa Reddy

Medical AICNNCancer Detection
Journal2023

An Efficient Regression Method To Predict Soil pH Using RGB Values

Mithun Shivakoti, AR Srinivasa Reddy

RegressionAgricultureImage Analysis
Patent2023

System and Method for Predicting Water Quality

Mithun Shivakoti, Sagar Dhanraj Pande

PatentWater QualityEnvironmental AI

Build

Projects

Things I've built — research, tools, and experiments.

View GitHub

DeepShade: Text-conditioned Shade Simulation

Conditional diffusion model trained on satellite imagery & 3D simulations to predict time-dependent urban shadow patterns. SSIM ~0.84 (97.8% improvement over baseline). Applied to shade-aware route optimization. Published at IJCAI 2025.

PyTorchDiffusion ModelsSatellite ImageryComputer VisionPython

KNOXRT: Real-time Threat Detection

Real-time cybersecurity threat detection integrating CNN-LSTM, CNN-GRU, CNN-GAN and tree-based ensembles. 99.48% accuracy using CNN-GRU + Random Forest ensemble.

PyTorchCNN-LSTMCNN-GRURandom ForestPythonScikit-learn

Sentinel: Insider Trading Prediction

Real-time risk scoring system combining SGX data, price fluctuations, and volume analysis to flag anomalous insider trading. Stock price forecasting module with <3% error rate.

PythonTime SeriesAnomaly DetectionScikit-learnPostgreSQL

Adaptive Drift-Mitigation Framework

Sliding-window concept drift detection with automated model retraining for edge ML systems. Handles shifting data distributions and emergent classes without manual intervention.

PythonScikit-learnEdge MLStreaming DataDocker

Terveys: Soil Health Intelligence

Smartphone-based soil health assessment via RGB image analysis. Deep learning predicts soil type and pH, saving farmers up to 75% of time vs. physical testing.

PythonTensorFlowComputer VisionDeep LearningMobile

Vital Monitoring — Arduino Nicla Smart Mask

Real-time wearable data collection from smart masks, with a trained model predicting potential collapses by analyzing breathing patterns and heart rate. Integrated hardware sensors directly into the mask for continuous edge inference.

Arduino NiclaPythonEdge MLSignal ProcessingWearables

Spoof Call Detection for Police Control Room

ML + NLP model classifying incoming calls as human or system-generated spoof calls, cutting average police connection time from 25–30 seconds to 10 seconds. Includes a real-time call recording website for voice analysis.

PythonNLPMachine LearningVoice AnalysisWeb

Laryngeal Tissue Cancer Classification

Custom CNN-based deep learning model for early-stage laryngeal tissue cancer detection (95% accuracy). Classifies four distinct tissue types from medical imaging, enabling faster clinical diagnosis.

PythonPyTorchCNNMedical ImagingDeep Learning

OS Viz — Operating Systems Visualizer

Interactive visualization platform for OS concepts, with an integrated Ubuntu terminal and animated algorithm walkthroughs. Makes complex OS internals accessible to a wide audience.

JavaScriptHTML/CSSUbuntu TerminalWeb

Toolkit

Skills

Technologies and tools I use to build AI/ML systems.

Languages

PythonSQLRJavaMATLABBash

ML / DL Frameworks

PyTorchTensorFlowScikit-learnHuggingFace TransformersKerasLangChain

Specializations

Large Language Models (LLMs)NLPComputer VisionGenerative AITime Series ForecastingAnomaly DetectionReinforcement Learning

Data Engineering

PandasNumPyFeature EngineeringETL PipelinesEDASHAP / LIMEDrift Detection

MLOps & Cloud

MLflowDockerKubernetesAirflowFastAPIFlaskAWS (S3, EC2, SageMaker, Lambda)GCP (Vertex AI, BigQuery)CI/CD

Databases & Tools

PostgreSQLMySQLMongoDBGitJupyterLinux

Certifications

Oracle Cloud Infrastructure 2024 Generative AI Professional

Oracle

Artificial Intelligence Analyst

IBM

Fundamentals of Deep Learning

NVIDIA

Career Essentials in Generative AI

Microsoft

Say hello

Let's Work Together

Actively seeking full-time Data Scientist and ML Engineer roles. Open to industry, research, and applied AI positions.

Tempe, AZ — open to relocation & remote
Available May 2026

Available for full-time roles. Authorized to work in the US on OPT (STEM OPT eligible).