Ajeet Kumar Shukla

Ajeet Kumar Shukla

$5/hr
Backend Developer & Data Analytics Enthusiast
Reply rate:
-
Availability:
Full-time (40 hrs/wk)
Age:
23 years old
Location:
Padrauna, Uttar Pradesh, India
Experience:
0 years
AJEET KUMAR SHUKLA Kushinagar, Uttar Pradesh ƒ - #-ï www.linkedin.com/in/ajeet-shukla § /ajeet-shukla13 EDUCATION Indian Institute of Technology, Kharagpur Undergrad, B.Tech in Mechanical Engineering, M.Tech in Industrial and Systems Engineering Dec. 2020 – May 2025 CGPA - 8.14/10 INTERNSHIP AND PROJECTS Software Engineering Intern | Intaligen May 2024 - July 2024 • Utilized Java-Spring Boot Framework, employing Kafka to stream Osquery-generated data events to DuckDB • Executed testing on 5+ offline asset tracking APIs thoroughly across 50+ cases , resolving critical errors efficiently • Engineered a robust Node.js RestFul API for offline Asset tracking, enabling anticipatory system data updates • Programmed Node.js and C++ scripts, coupled with PostgreSQL queries, to identify and harmonize data disparities Safety Analytics | Masters Thesis Project July 2024 - April 2025 • Developed a predictive framework using Association Rule Mining and LSTM to identify and forecast recurring injury hazard patterns in OSHA workplace data that forecasts the interval of next occurrence of the rule in days • Built ensemble forecasting models (LSTM, ARIMA, Holt-Winters) with Ridge Regression, achieving improved accuracy over standalone models, checked by using RMSE of the base models and ensembled model(RMSE decreasing) • Performed data engineering on real-world OSHA datasets, including manual categorization using supersets and association rule mining and for detailed study of rule the temporal association rule mining for safety insights • Established a forward-thinking safety pipeline enabling early intervention by accurately predicting critical time intervals between high-risk workplace injury events, carefully tailored to regional trends (Texas-specific analysis) DSA Problem Search Engine • Designed a DSA problem search engine using Python, web scraping, and natural language processing techniques • Leveraged Selenium WebDriver to successfully scrape over 2000+ questions from competitive programming platforms • Implemented the tf-idf algorithm effectively to rank question relevance and retrieve the top results for efficient searching • Enhanced user experience with a frontend incorporating client-side rendering and a responsive, dynamic UI feature Social Media Web App • Developed a dynamic social media web application utilizing Node.js, Express.js, Socket.io, and Passport.js • Enabled real-time communication features using Socket.io to enable instant messaging and live user interactions • Integrated Passport.js for user authentication and engineered login strategies, local authentication and OAuth • Utilized MongoDB to securely store and retrieve user data, posts, likes, and comments for efficient interaction • Developed user profiles, including profile picture upload functionality and adjustable privacy and user settings • Designed RESTful APIs for scalable communication between frontend and backend application system components TECHNICAL SKILLS Programming Languages: C, C++, Java, Python, HTML/CSS, MATLAB Libraries/Frameworks: React, Spring Boot, Pandas, Numpy, Scikit-Learn, Express.js, Bootstrap, Tailwind CSS Databases:MySQL, MongoDB Other Technologies: Node.js, Git, AWS, C++ STL, MS-Office, Selenium ACADEMIC ACHIEVEMENTS • • • • • Recipient of Merit-Cum-Means Scholarship offered by IIT Kharagpur to its meritorious students from- Reached a maximum-rating of 1833 on LeetCode, being rated among the top 6.5% of programmers(ajeet shukla) Ranked among top 7% of 1.5 lakh candidates appearing for Joint Entrance Examination (JEE) Advanced, 2020 Secured a position in the top 1.3% of 10.2 lakh candidates in the Joint Entrance Examination (JEE) Mains, 2020 Achieved Dakshana 2-year JEE coaching scholarship, given to only 1% of JNV students from across India in year 2017 COURSEWORK Computer Science: Programming and Data Structures(Theory + Lab) Miscellaneous: Probability and Statistics, Advanced Calculus, Electrical Technology, Linear Algebra, Operations Research, Basic Electronics(Theory + Lab), Transform Calculus, Economics
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