
Crafting backend experiences
that foster brand loyalty
My approach starts with...
Precise requirement analysis, scalable architecture design, security emphasis, coding standards adherence, rigorous testing, and collaborative implementation.
See more Work
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① Deepfake Detection
Developed a deepfake detection model that aims to detect manipulated images and videos using ML algorithms. Used image processing techniques to analyze emotions of a forged image and detect anomalies in the input data.
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② Meetup (Social Networking Platform)
Developed a social networking platform that utilizes GNN algorithms such as Graph Neural Networks (GNN) including GCN, Graph SAGE, and GAT for advanced link prediction and leveraged SOTA recommendation systems.
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③ Flight.com (Travel Booking Website)
An E2E application for booking flights. Users can search for and compare flights from different airlines, view available seat options and pricing, and book their flights using Flask, Jinja and MySQL as the backend technologies.
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④ Weather Dashboard
Web App that allows users to search for a city to get current weather and 5 day forecast. Cities that users previously looked up will be saved in their local storage. Retrieved and forecasted the integrated AQI index using web scraping and ML basic techniques.
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⑤ Recommendation system for OTT
Intelligent application that suggests personalized movie recommendations to users based on their history, ratings & preferences. Uses various ML algorithms & recommendation systems to provide users with a curated list of content they are likely to enjoy
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⑥ House Rent Prediction
Used information about 4700+ Houses / Flats available for rent with different parameters. Basing these indicators, predicted house rent values using ML algorithms.
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⑦ Microsoft-Coupons clone + Ecommerce price tracker
Scrape prices and coupons on specific products across different websites and alert when there’s a good deal. Tracks prices across temporal intervals, allowing users to analyse price fluctuations over time and identify optimal buying windows.
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⑧ Chat Service using MQTT
Built a basic publisher-subscriber model using MQTT as a broker in Python
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In the face of changing technology,
I try to learn new techniques and tech and keep myself updated, experiment with new tools & explore emerging trends in the field
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Skills
PLs
Python 💪
Java ❤️
C++/C
R (beginner)
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DBs
MySQL
PostgreSQL
BigSQL
Amazon RDS
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NoSQL DBs
MongoDB
Neo4J
H2
S3
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DevOps
Kubernetes
Docker
Bitbucket
Jira
Jenkins
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Data Engineering
PySpark
Databricks
Tableau/PowerBi
DS lib in Python
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3D modelling
Spline
Blender
Unity3D
DS lib in Python
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Others
Git/Github
Basics of MERN
Gephi/NetworkX
Matlab
At the heart of everything I do is the human
experience to feel. To love. To imagine. To learn. To wonder.
To guide. To jest. To rule. To serve. To belong.