ojasv@ubc:~ $ ./resume.sh

ojasv@ubc-mds — ~/resume — bash 5.2.21

220×50

ojasv@ubc-mds:~/resume (main)$ neofetch

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ojasv@ubc-mds

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OSDataScienceOS 3.5 LTS x86_64

RoleData Scientist & ML Engineer

EducationMaster of Data Science — UBC (Jun 2026)

Uptime3.5+ years | 30+ clients delivered

LocationVancouver, BC, Canada

Emailojasvissar4@gmail.com

Phone+1-604-831-5490

LinkedInlinkedin.com/in/ojasvissar

GitHubgithub.com/ojasvissar

ShellPyTorch 2.x · AWS Bedrock · LangChain

PublishedICICC 2026 · Springer LNNS · Top 15%

OPEN TO WORK — Full-time from June 2026

$ cat summary.txt

Data Scientist & ML Engineer with 3.5+ years of experience, pursuing an MDS at UBC, specializing in end-to-end ML system design across low-resource NLP, probabilistic modeling, and scalable data infrastructure. Combines fluency in Python, R, PyTorch, transformer fine-tuning, and distributed pipeline orchestration with cloud-native AWS deployment — across domains from stochastic game theory to multilingual sentiment classification. Driven by a bias toward production-readiness: every model ships, every pipeline scales.

uptime:0+ yrs

clients:0+

models_shipped:∞

exams_proctored:0+

pub_acceptance:top 15%

status:● OPEN TO WORK

skills.json — jq

ojasv@ubc-mds:~/resume (main)$ jq '.' skills.json | bat --theme=ansi

// core_proficiency

Python

96%

ML / DL

92%

Generative AI

90%

Data Eng.

88%

Cloud / AWS

84%

R / Stats

82%

// tech_stack

languages & tools

PythonRSQL BashDockerGit AWS LambdaAWS S3AWS Bedrock

ml & deep learning

PyTorchTensorFlowscikit-learn OpenCVCNNsYOLO TransformersGANsViT XGBoostEnsemble Methods

generative ai

LLM Fine-tuningRAG Pipelines LangChainFAISSChromaDB GPTClaudeLLaMA Prompt EngineeringInstruction Tuning

data engineering

Apache KafkaApache AirflowPySpark SnowflakePostgreSQLMongoDB Neo4jElasticsearchETL Pipelines

visualization & bi

TableauPower BIStreamlit MatplotlibSeabornggplot2Plotly

experience.log — 3 entries

ojasv@ubc-mds:~/resume (main)$ cat experience.log | grep -v "^#" | pretty-print

Independent Consultant

Data Scientist — Freelance

Jun 2022 – Present

📍 Remote · 30+ clients · 3.5+ yrs active

Delivered end-to-end ML systems for 30+ clients — including EdTech platforms Escalera Technologies and TechLearniversity — across education, analytics, and e-commerce using deep learning, computer vision, NLP, and RAG pipelines.
Fine-tuned XLM-RoBERTa-large on a 15K+ web-scraped Arabic review dataset via instruction tuning and domain adaptation; A/B benchmarked across F1 / precision-recall before deploying to AWS Bedrock production inference.
Built CNN/YOLO computer vision systems and transformer NLP models; engineered ETL pipelines with Airflow, Kafka, PySpark on Snowflake, PostgreSQL, Neo4j; delivered real-time Tableau and Power BI dashboards.

Spartan Poker

Data Scientist Intern

Jan 2024 – Jun 2024

📍 Gurugram, India

Designed company's first game-theoretic tournament payout model adopted across 50K+ active players; churn prediction (gradient boosting + survival analysis) reducing attrition by 30%; fraud anomaly detection improving accuracy by 60%.
Architected Snowflake data warehouse migration with schema design and quality frameworks; real-time dashboards cutting query latency by 60%.

University of British Columbia

Graduate Teaching Assistant · CBTF Proctor

Sep 2025 – Present

📍 Vancouver, BC

Scaled CBTF from 22 → 31 courses (+41%), 155 → 263 exams (+70%), 4,298 → 6,094 students (+42%) in one term; secure delivery across 38,000+ exams.

~/projects/ — ls -la

ojasv@ubc-mds:~/projects (main)$ ls -la --color=always --sort=date

drwxr-xr-x · 01

↗

📡 Reddit UBC Reporter

Jan 2026 · serverless

AWS LambdaBedrockLlama 3ClaudeEventBridgeS3

Fully automated 4-stage Lambda pipeline (Fetcher → Analyzer → Summarizer → Emailer). Dual-model Bedrock inference — Llama 3 categorizes, Claude summarizes — dispatching weekly r/UBC digests to 100+ subscribers.

drwxr-xr-x · 02

↗

🌾 Geospatial Yield Transformer

Nov 2025 · computer vision

PyTorchTorchGeoViTONNXGrad-CAM

Extended MMST-ViT for crop yield prediction — fusing satellite imagery with weather time-series. Grad-CAM attention visualization; ONNX export; benchmarked vs geospatial baselines.

drwxr-xr-x · 03

↗

☄️ Asteroid Hazard Classifier

Nov 2025 · classification

XGBoostRandom ForestSMOTENCNASA/JPL

Planetary defense classifier on 958,524 NASA/JPL records. SMOTENC for class imbalance; RFE + chi-squared feature selection; XGBoost vs RF benchmarked across F1, precision, recall.

education.db · publications.bib

ojasv@ubc-mds$ sqlite3 education.db "SELECT * FROM degrees ORDER BY year DESC;"

University of British Columbia

Master of Data Science (MDS)

📅 Sep 2025 – Jun 2026 | 📍 Vancouver, BC

Graduate Teaching Assistant: CBTF Proctor — scaled 22→31 courses (+41%), 155→263 exams (+70%), 4,298→6,094 students (+42%); secure delivery across 38,000+ exams.

Symbiosis Institute of Technology

B.Tech Computer Science & Engineering · Honours: Data Science

📅 Aug 2020 – May 2024 | 📍 Pune, India

$ cat publications.bib

SneakerXchange: Enhancing User Experience through HCI Principles

9th International Conference on Innovative Computing & Communication (ICICC 2026) · Springer Lecture Notes in Networks and Systems

✓ Accepted · Top 15% acceptance rate

interactive — try: help · whoami · hire · theme · matrix · contact

ojasv@ubc-mds$ bash --interactive resume.sh

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Welcome to ojasv's interactive resume shell v4.0

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Type help for available commands · ↑↓ for history · Tab to autocomplete

ojasv @ ubc-mds : ~ $