01
Software Development
Full-stack products with modern frameworks and cloud infrastructure.
- Frontend
- React, Next.js, TypeScript, Tailwind CSS
- Backend
- Node.js, Express, GraphQL, REST APIs, Microservices
- DevOps
- Docker, AWS, CI/CD, Kubernetes, Git
01
<Activity />
Curiosity may start the project, but consistency finishes it. This is the daily rhythm behind the work, then the longer trail of streaks, experiments, and code.
Contributions · last 12 months2,462
- Commits
- 433
- Pull requests
- 4
- Issues
- 10
- Reviews
- 0
- Private
- 1,995
- Active days
- 299 / 371
- Busiest day
- 55 · 2026-07-15
- Longest streak
- 33 days
- Daily average
- 6.6
Hover or focus a square for its exact count
LessMore
Contribution calendar from 2025-08-24 to 2026-08-29: 299 of 371 days recorded activity, peaking at 55 contributions on 2026-07-15.
All time
Contributions5,588
- Active days
- 830
- Longest streak
- 102 days
- Current streak
- 6 days
- Busiest day
- 55
- Jul 15, 2026
Lines added5,436,232
- Lines deleted
- 2,898,446
- Repositories
- 60
- 1 skipped
02
<About />
Story
@hassankhan2608- Location
- Mumbai, India
- Availability
- Open to ambitious product and engineering work
- Disciplines
- Full Stack Developer
- Data Scientist
- Machine Learning Engineer
- Data Engineer
- AI Engineer
I learn by asking how things work. When I come across software I use every day, I rarely stop at using it; I want to understand the decisions behind it, imagine how I would build it, and find the part I wish it did better.
Problems create the same pull. I ask whether the friction is mine alone or something other people face too. If it is common, I build the smallest useful version, use it myself, notice what is missing, and keep shaping it until it genuinely helps.
That curiosity first took me through data, dashboards, and machine learning, then outward into interfaces, APIs, automation, cloud systems, and applied AI. It is why my work crosses so many layers: I care less about staying inside one label than understanding the whole system well enough to improve it.
Today, I lead engineering work at Flo Mattress across logistics, analytics, integrations, and applied AI. The scale is larger, but the habit is unchanged—question the familiar, connect the pieces, and build the version I believe should exist.
Experience
03 orgs · 04 rolesFlo Mattress
Mumbai, IndiaJuly 2024 — Present- 01
SDE 2 & Team Lead
November 2025 — Present- 01Lead onboarding for logistics partners, integrating external APIs into the delivery platform.
- 02Build web-scraping systems that turn competitor pricing into real-time business intelligence.
- 03Develop logistics dashboards that expose delivery performance, costs, and operational bottlenecks.
- 02
Full Stack Developer
July 2024 — October 2025- 01Built the company CRM from scratch and unified payments, logistics, and Shopify workflows.
- 02Improved process efficiency by 70% and day-to-day operations by 30%.
- 03Built an AI support agent that answers customer questions and performs order actions.
- 04Mentored more than five interns and automated AWS deployments with GitHub Actions.
iNeuron.ai
Bangalore, IndiaDecember 2023 — June 2024Data Science Intern
- 01Trained and deployed three Python machine-learning projects.
- 02Produced low-level and high-level designs for data-science systems.
Independent
RemoteFebruary 2023 — June 2024Freelance Data Analyst & Web Developer
- 01Delivered analytics projects and actionable client reports.
- 02Built Power BI dashboards and custom web products for diverse businesses.
Expertise
04 domains · 49 entries02
Data Science & ML
Machine learning, deep learning, and analytics systems in production.
- Machine Learning
- TensorFlow, PyTorch, scikit-learn, NLP
- Data Processing
- Pandas, NumPy, PySpark, Jupyter
- MLOps
- MLflow, DVC, Weights & Biases, Model Monitoring
03
Data Engineering
Scalable data infrastructure, pipelines, and storage.
- Big Data
- Apache Spark, Kafka, Airflow, Data Lakes
- Databases
- PostgreSQL, MongoDB, Redis, Elasticsearch
- ETL
- dbt, Snowflake, Azure Data Factory, Data Quality
04
Analytics & BI
Dashboards and decisions from raw data.
- Visualization
- Power BI, Tableau, D3.js, Plotly
- Analysis
- Statistical Analysis, A/B Testing, Time Series, Data Mining
- Business
- KPI Monitoring, Data Strategy, Business Intelligence
03
<Education />
Education grounded my curiosity in information technology, computer science, and data—and taught me to keep learning beyond the syllabus.
Degrees
02012024 — 2026
Master of Science in Computer Science
Mumbai University
Data science, machine learning, deep learning, AI agents, business intelligence, social analytics, and time-series analysis.
022020 — 2023
Bachelor of Science in Information Technology
Rizvi College of Arts, Science and Commerce
Focused on web services and business-intelligence projects.
- Built a driver-hiring portal as the final-year project.
- Led the technical team for the department’s first inter-college festival.
Certifications
03Data Science and Business Analytics
Boston Institute of AnalyticsDecember 2023
04
<Projects />
Most of these began with one of two questions: how does this work, or what is it missing? These are the answers I turned into products.
- 01
Full-stack · Education
Coursera Clone — opens in a new tab
A full-stack learning platform with course discovery, authentication, video lessons, progress tracking, and quizzes.
Stack
- React
- Node.js
- Express
- MongoDB
- Redux
- SCSS
- 02
Web product · Privacy
Droply — opens in a new tab
Instant disposable inboxes for testing and privacy, with no registration required.
Stack
- React
- Tailwind CSS
- Email APIs
- 03
Applied AI · Careers
Resume Guru — opens in a new tab
An AI-assisted resume reviewer with tailored evaluation, keyword analysis, ATS feedback, and cover-letter generation.
Stack
- Gemini
- NLP
- Python
- React
03 records
05
<Repos />
The finished projects are only part of the story. These pinned repositories keep the experiments, self-built versions, utilities, and questions that led to them.
gh repo list hassankhan2608 --pinned --limit=62 stars0 forks
hassankhan2608/Trimora
Minimal, self-hosted URL shortener built with Go, React, and PostgreSQL
- go
- postgresql
- react
- self-hosted
- +1
- Stars
- 2
- Forks
- 0
- Primary language
- Go
- Last pushed
hassankhan2608/cognitive-routing-rag
RAG-based cognitive bot loop: route, generate, and defend with persona-based arguments
- ai
- faiss
- langgraph
- llm
- +2
- Stars
- 0
- Forks
- 0
- Primary language
- Python
- Last pushed
hassankhan2608/DROPLY
Secure disposable/temporary email service with real-time inbox and dark mode
- disposable-email
- email-service
- privacy
- react
- +1
- Stars
- 0
- Forks
- 0
- Primary language
- JavaScript
- Last pushed
hassankhan2608/Invisibility-Computer-Vision
Disappear on camera using hand gestures — no green screen needed
- computer-vision
- hand-gestures
- mediapipe
- opencv
- +1
- Stars
- 0
- Forks
- 0
- Primary language
- Python
- Last pushed
hassankhan2608/Khetibadi
Agricultural intelligence platform for Indian farmers with AI chat, crop management, and market price analysis
- agriculture
- ai
- crop-management
- farmers
- +2
- Stars
- 0
- Forks
- 0
- Primary language
- Python
- Last pushed
hassankhan2608/My-Data-Science-Nusense
Portfolio of data science projects: ML, NLP, analytics, healthcare, and market research
- analytics
- data-science
- jupyter
- machine-learning
- +2
- Stars
- 0
- Forks
- 0
- Primary language
- Jupyter Notebook
- Last pushed
Browse all repositoriesgithub.com/hassankhan2608
06
<OpenSource />
Curiosity also sends me into other people's code. These are the fixes and improvements that earned their place in the systems where they began.
- merged
- 05
- repositories
- 04
- latest
- 25 Jul 2026
pctrade/end4-pC
01 mergedcoollabsio/coolify
01 mergedis-a-dev/register
01 merged
07
<Writing />
Building answers the first question; writing forces me to understand the answer. These notes preserve the decisions, failures, and patterns worth carrying forward.
5 entriesOpen writing archive
Featured note
Writing4 min read
Probability and Statistics for Data Science
A practical introduction to descriptive statistics, probability, inference, regression, and Bayesian reasoning with Python examples.
- Data Science
- Statistics
- Python
Read on site
- 022 min read
The Growing Role of MLOps: Where Data Science Meets DevOps
Why deploying and maintaining machine-learning models requires the shared practices of data science and DevOps.
- MLOps
- DevOps
- Machine Learning
- 033 min read
E-commerce Domain Knowledge for Data Analysts
A practical tour of sales, customers, inventory, marketing, recommendations, fraud, and supply-chain analytics.
- E-commerce
- Data Analysis
- Domain Knowledge
- 043 min read
A Day in the Life of a Data Scientist
The technical work, collaboration, reporting, and communication that shape a data scientist’s working day.
- Data Science
- Career
- Collaboration
- 054 min read
Missing Value Imputation Methods using Python
A guide to statistical, predictive, forward-fill, and backward-fill approaches for handling missing observations.
- Python
- Data Science
- Missing Data
08
<Contact />
If you are solving a problem, exploring an idea, or rebuilding something that could work better, I would like to hear about it.
Coordinates
- Phone
- +91-9137985667
- Based in
- Mumbai, India
- Status
- Open to ambitious product and engineering work
- linkedin.com/in/hassankhan2608
- Website
- laughingman.is-a.dev
// Timezone IST (UTC+5:30). Cold outreach is welcome if it is specific.
Message
exit 0 — that is the whole page. Thanks for reading to the bottom.
EOF