Badal (RID : 6v6vly40tkew)

  • AEM developer
  • Gurugram

Rate

₹ 153,000 (Monthly)

Experience

6 Years

Availability

Immediate

Work From

Offsite

Skills

C++JavaPythonMySQLMongoDBAdobe Experience Manager ImageJavaScriptLinuxMachine LearningOpenCVDBMS problem-solving self-motivationSoftware testing

Description

 


BADAL
May 2026 Present
March 2022
March 2020
Education
BTECH in Information Technology
National Institute of Technology, Kurukshetra
Intermediate/+2 (CBSE)
Army Public School Chandimandir, Panchkula
Matriculate (CBSE)
Army Public School Chandimandir, Panchkula
C++, Java, Python, MySQL, MongoDB, Adobe Experience Manager Image Processing,
JavaScript ,Linux ,Machine Learning ,OpenCV ,DBMS problem-solving, self-motivation,
Intellectual Ability, Feedback ,Performance, Quality Assur- ance, Troubleshooting,
Collaborate, Solutions, Testing , Industry Trends
Skills
Soft Skills :
Hard Skills :
Work Experience
Software Development
Avalanches high tech enterprises
AEM developer
Worked as an AEM for for developing, creating, implementing, and maintaining AEM forms solutions
Worked under the Gold Medalist Professor of NIT Kurukshetra for 6 months on developing projects
AEM Developer
Worked at Omnious Tech as an AEM for developing, creating ,implementing and maintaining AEM forms
solution.
2024- Present
May 2023
Digital Image Processing Gesture Game August 2023
• Developed a hand-gesture-controlled version of the popular game ”Subway Surfers” using Python and
the OpenCV library within the Spyder (Anaconda3) development environment
• Streamlined project workflows, enhancing overall efficiency by 25%
• Replaced traditional finger swiping with intuitive hand movements to control the game character
Projects
Road Accident Severity Prediction November 2023
• Leveraged machine learning and AI algorithms to uncover hidden patterns in traffic data providing
actionable
insights for road safety authorities and policymakers
• Logistic regression achieved 79.75% accuracy, 73.9% precision, 79.8% recall, and 71.8% f-measure
• Collaborated with cross-functional teams, enhancing project success rates by 10%

Word Lookup Dictionary March 2024
• Developed a desktop software application for online lookup of English words
• Implemented an efficient search mechanism for valid words using the Trie data structure
• Integrated spelling correction (95%) and auto-suggestion features (92%) using the edit distance
algorithm
• Utilized web scraping to retrieve data for online word lookup
: Built an autonomous maze solver robot in NIT Kurukshetra’s Technical Fest
: Machine Learning and Database Management
questions on LEETCODE.
: Technobyte - Technical club of NIT Kurukshetra
Awards and Certificates
Winner - MazeUP
Certifications
Solved 250+
Secretary

 

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