Available for impactful roles

Sakhawat Hossain

Software Engineer | Data Scientist | AI Engineer (ML/DL)

I build reliable backend systems, data pipelines, and applied AI products that turn ideas into measurable outcomes. I enjoy solving real-world problems with pragmatic engineering, clean APIs, and data-driven insight.

My work balances research curiosity with production discipline, and I thrive in collaborative teams where ownership and clarity matter.

What I Deliver

  • Production-ready backend APIs and services
  • Data pipelines and analytics that scale
  • Applied AI systems with measurable outcomes
  • Clear documentation and ownership-driven execution

About

Why I build, what I enjoy, and how I keep growing.

I chose tech because I love building systems that remove friction for people. From APIs that keep teams moving fast to models that reveal hidden patterns, I enjoy work that blends precision with impact.

I am most energized by problems that require both engineering rigor and scientific curiosity: scalable backend services, data platforms, real-time systems, and ML pipelines that ship to production.

I keep a growth mindset by writing, reviewing, and refactoring with intent, learning from metrics, and sharing knowledge with teammates.

Focus Areas

Backend & APIs Data Engineering & Analytics ML/DL & Applied AI Real-time Systems

Soft Skills

  • Ownership and clear communication
  • Collaborative problem solving
  • Mentorship and documentation

Skills

Grouped to show depth across engineering, data, and AI.

Software Engineering

Django DRF FastAPI JWT / OAuth WebSocket / Django Channels Celery Redis Docker AWS MySQL / PostgreSQL Git

Data Science

Pandas NumPy EDA Statistics SQL Data Visualization

AI / ML / DL

PyTorch / TensorFlow YOLO / OpenCV NLP / LLMs Prompt Engineering MLOps Basics

Projects

Each project highlights the problem, solution, tech, and impact.

BooknLink Marketplace Backend

Multi-service booking platform with listings, payments, scheduling, and provider payouts.

SE
Django DRF SimpleJWT Stripe Celery Channels Redis PostgreSQL

Problem: Providers needed a single backend to manage listings, pricing, availability, and payments without double-bookings.

Solution: Built a Django REST backend with listings, dynamic pricing rules, booking/payment flows, and calendar sync.

Impact / Learning: Enabled end-to-end marketplace workflows with secure checkout, provider payouts, and synced schedules.

  • Listings and pricing system with categories, fees, and availability slots
  • Stripe checkout, refunds, wallet tracking, and payout requests
  • iCal export/sync and Google Calendar OAuth integration
  • Custom auth with OTP verification, JWT, and social login
  • Messaging, reviews, and notifications for trust signals

My Contribution: Designed core models, implemented payments + calendar sync, and built auth/onboarding flows.

AI-Agent Legal Assistant Backend

AI legal chat with file-aware messaging and expert appointment scheduling.

AI
Django DRF SimpleJWT OpenAI SDK PostgreSQL Gunicorn WhiteNoise

Problem: Users needed secure AI legal chat and reliable expert scheduling without double bookings.

Solution: Implemented authenticated chat, file-aware AI responses, and appointment intake with conflict checks.

Impact / Learning: Delivered a full AI support flow with secure auth, notifications, and scheduling automation.

  • JWT auth with refresh, logout, and blacklisting
  • OTP password reset via email verification
  • File-aware chat with PDF/image processing
  • LLM slot-filling for appointment intake and matching
  • Confirmation emails using signals + on_commit hooks

My Contribution: Built auth, chat pipeline, scheduling logic, and email workflows.

Social Billboard Creator Analytics

Multi-platform creator analytics with AI insights, reports, and subscriptions.

DS AI
Django DRF SimpleJWT Celery Redis OpenAI SDK Stripe PostgreSQL

Problem: Brands lacked unified creator analytics across YouTube, TikTok, Instagram, and Spotify.

Solution: Built OAuth-based data ingestion with AI insight scoring, PDF reporting, and Stripe subscriptions.

Impact / Learning: Delivered scheduled analytics, automated reports, and paid plan management.

  • OAuth connections and token storage for multi-platform access
  • AI analytics endpoints for engagement and insight scoring
  • PDF audit/report generation for stakeholders
  • Stripe checkout, upgrades, cancellations, and webhooks
  • Scheduled data collection and ETL pipelines

My Contribution: Implemented OAuth flows, analytics, reporting, and billing workflows.

Nimbus Booking & Payments

Role-based booking, secure checkout, and automated invoicing for service businesses.

SE
Django DRF JWT Stripe PostgreSQL

Problem: Service providers struggled with inconsistent scheduling and delayed payments, leading to revenue leakage.

Solution: Built a booking and payment platform with role-based access, secure checkout, and automated invoices.

Impact / Learning: Improved payment collection speed and provided a single source of truth for bookings and invoices.

  • Reduced manual payment follow-ups by 70% through automated reminders
  • Implemented audit trails and role-based access for compliance
  • Added retry-safe webhooks with idempotency keys

My Contribution: Designed the booking workflow, implemented JWT auth, and optimized payment webhook processing.

Pulse Real-time Chat & Notifications

Low-latency chat and event notifications with presence tracking.

SE
Django Channels WebSocket Redis PostgreSQL

Problem: Teams needed dependable, real-time communication without overloading the API layer.

Solution: Implemented WebSocket channels with Redis-backed routing and resilient reconnect logic.

Impact / Learning: Enabled faster decision-making and improved collaboration responsiveness.

  • Delivered sub-200ms message fan-out at peak load
  • Presence and typing indicators with auto-reconnect logic
  • Background delivery retries for reliability

My Contribution: Owned the WebSocket gateway and message fan-out logic, built load testing.

Subscription & Webhook Orchestrator

Unified subscription management with reliable webhook processing and analytics.

SE DS
FastAPI Celery Redis PostgreSQL

Problem: Subscription events arrived in inconsistent formats, causing missed renewals and reporting gaps.

Solution: Centralized webhook ingestion and analytics with a fault-tolerant queue.

Impact / Learning: Improved renewal visibility and gave operators near real-time insights.

  • Normalized events across multiple payment providers
  • Created churn dashboards and lifecycle metrics
  • Queue-based retries to prevent missed renewals

My Contribution: Built ingestion pipeline, normalized schemas, added KPI tracking.

Chronos iCal Sync Engine

Two-way calendar sync with conflict resolution and audit logs.

SE
Django Celery iCal PostgreSQL

Problem: Calendar data drifted between systems, causing missed events and double-bookings.

Solution: Built a two-way iCal sync engine with conflict detection and logging.

Impact / Learning: Reduced scheduling errors and improved trust in shared calendars.

  • Conflict resolution with deterministic merge rules
  • Background sync with incremental checkpoints
  • Audit logs for compliance and debugging

My Contribution: Implemented sync scheduling, conflict handling, optimized jobs.

SignalScope Competitor Analytics

YouTube competitor analytics with scheduled data pulls and reporting.

DS
Python YouTube API Celery Pandas

Problem: Marketing teams lacked reliable signals on competitor content performance.

Solution: Automated competitor data collection and analytics dashboards.

Impact / Learning: Enabled data-driven content strategy decisions and faster iteration.

  • Automated data collection and enrichment
  • Trend detection for content performance
  • Weekly executive summaries

My Contribution: Designed ETL flow, engineered features, created reporting templates.

VisionGuard AI Inspection

YOLO-based inspection pipeline with REST API for defect detection.

AI
YOLO OpenCV FastAPI Docker

Problem: Manual inspections were slow and inconsistent, leading to missed defects.

Solution: Built an AI inspection pipeline using YOLO with a production-ready REST API.

Impact / Learning: Improved inspection speed and consistency while reducing manual effort.

  • Optimized inference for 2x throughput
  • Automated report generation with annotated images
  • Quality threshold tuning with validation metrics

My Contribution: Trained the detection model, built the REST service, added QA reporting.

Experience

Timeline of applied engineering and research work.

Python Developer

May, 2025 - Present

Independent Projects

Built backend platforms, data pipelines, and applied AI systems with a focus on reliability, observability, and measurable outcomes.

Jr Web Developer

january, 2022 - December, 2024

Academic Lab

Collaborated on ML research, model evaluation, and dataset curation with a focus on medical AI and predictive analytics.

Certifications & Achievements

Formal learning and milestones.

AWS Cloud Practitioner (Placeholder)

AWS • 2025

Deep Learning Specialization (Placeholder)

Coursera • 2024

Contact

Let us connect for collaborations or opportunities.

Reach Me

Email: hsakhawat135@gmail.com

Location: Dhaka, Bangladesh

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