Hi! I'm currently working as a Software Engineer II at Microsoft. Solving Real life problems pumps me up. I did my graduation from Netaji Subhas Institute of Technology. Progressively develop a career in IT sectors by implementing my analytical thinking and knowledge. Guys, remember one thing about my development :
"My software never has bugs. It just develops random features."
coming soon...
Integrated giant loan providers using Python-django, throttling and decorators design Patterns. Implemented pre-disbursal of loan API integrations.
Automated and delivered Maker-Checker consistent Workflow for payroll processors using python and SOLID principles and behavioral Design Patterns and SQL.
Provided payroll solutions for Thailand payroll using Kafka, AWS, multi-threading, SQL.
Delivered End to End Analytics Module:
• Designed and built architecture design and data mining.
• Transformed the real data into dashboards, reports and charts.
• Technology used: SQL server, Python, Rabit MQ, PowerBI, RestAPI, Javascript, Google Chart API, Google Anaytics,HTML5,JSON.
Implemented Multi-threading and Resource management techniques to increase Speed of E-Payslip generation PDF(400X) and FNF's affecting 150+ Client. Deliver various user stories on Attendance, Salary, tax process and Reports related task with high accuracy and speed. Implemented process locking to prevent and avoid deadlock in database on various critical processes i.e. tax calculation and salary processing.
built and designed a Web-Based Drawing Application with some attractive features for online classes or meetings to help in explaining things effortlessly.
Technologies: javascript and Canvas.
Built a Discord BOT with some advance features like google search,Recent searches and user search history persistent.
Discord bot can easily be integrated with any server on Discord.
Tools: Python,Google API's and SQL.
Screening for CKD detection is a challenge in community. We developed a solution to detect chronic kidney disease
using previous data collected from US labs(UCI ML).
Algorithms used: SVM and KNN.
Text Classification to extract total paid amount in Reimbursement process affecting(4 Lakhs users) using various ML techniques to perform better accuracy i.e. Naive Bayes and NLP.
Implemented advanced calculator able to evaluate complex expressions.
Technologies: Python,Stack and Algorithms.
Used DS and algorithms to design a 2048 game.Implemented in python.
CGPA 7.4
Among top 5% students in science department with an aggregate of 88%
