Hello! I'm UMAR ALAM,
a Full-Stack Developer and Application Support Specialist based in Bengaluru, with a knack for MERN, Python and AI/ML.
I hold a B.Tech in Computer Science and Engineering (CGPA 8.02/10) and build real-time projects that have made a measurable impact in education, healthcare, and agriculture.
I currently work at OmneNEST, supporting HSBC Retail trading applications on Linux/RHEL, and I have published research in Google Scholar and Scopus-indexed journals. My work is characterized by a commitment to excellence, a keen eye for detail, and a collaborative approach. I'm open to PAN-India opportunities and flexible with all time zones.
Hello! This is Umar Alam, a Full-Stack Developer with proven experience delivering real-time projects in
education, healthcare, and agriculture. I graduated with a B.Tech in Computer Science and Engineering from
Khwaja Moinuddin Chishti Language University, Lucknow (CGPA 8.02/10), after earning a Diploma in Mechanical
Engineering from Government Polytechnic Kenura, Sultanpur. Since March 2026 I have been working as an
Application Support Specialist at OmneNEST, Bengaluru, supporting HSBC Retail trading applications.
Skills and Expertise
1- Full-Stack Development: Proficient in HTML, CSS, JavaScript, React, Node.js, Express.js, Bootstrap, Tailwind, Django, and Flask.
2- Programming Languages: Skilled in Python, C++, and JavaScript.
3- Research Work: Published a paper on Alam-e-Study (E-learning Web App) in IJSRNSC (Google Scholar-indexed), and submitted a second on Crop360 (AI-based crop disease detection) to an Elsevier Scopus-indexed journal, currently under peer review.
4- Database Management: Experienced with SQL (MySQL) and NoSQL (MongoDB) databases, including MySQL verification with DBeaver.
5- Version Control & CI/CD: Proficient with Git and GitHub, with working knowledge of Jenkins pipelines.
6- APIs: Comfortable building and validating RESTful APIs (Postman, FastAPI) for integration and data exchange.
7- ML Libraries: TensorFlow, Keras, NumPy, Pandas, scikit-learn, and Streamlit for machine learning and data analysis.
8- Linux & Production Support: RHEL servers, shell commands, deployments, upgrades, log configuration, Grafana monitoring, RCA, and ITIL-based service management.
9- Software Development Methodologies: Familiar with Waterfall and V-Model SDLC as well as Agile/Scrum practices, with a clear understanding of planning, development, testing, and deployment phases.
10- Cloud & DevOps: Working knowledge of AWS, Docker, and cloud computing for deploying and managing applications.
11- Data Structures and Algorithms: Strong foundation, with 636+ programming and DSA problems solved on LeetCode and GeeksforGeeks.
12- Communication Skills: Fluent in English, Hindi, and Urdu; capable of working effectively in diverse environments.
Education
B.Tech in Computer Science and Engineering | KMCLU, Lucknow | Nov 2022 - June 2025 | CGPA 8.02/10
Diploma in Mechanical Engineering | Government Polytechnic Kenura, Sultanpur | Aug 2019 - May 2022 | CGPA 7.2/10
Courses: Harvard CS50 (2024), Mahindra Tech Soft Skills, GrowthSchool AI Workshop, SWAYAM OOP & DSA.
Passion for Learning
My passion for technology extends beyond the classroom and work projects. I am constantly exploring new languages,
tools, and methodologies to stay ahead in the ever-evolving tech landscape. This continuous learning mindset allows me
to bring fresh perspectives and innovative solutions to the table.
Thank you for taking the time to learn about me. Feel free to reach out if you'd like to
connect, collaborate, or discuss potential opportunities.
1. March 2026 - Present | Bengaluru
2. API validation, MySQL verification, and end-to-end testing for HSBC Retail trading applications, reducing production defects by 25% with 99.9% uptime
3. Configured and deployed the HSBC Retail production environment from scratch to go-live on RHEL servers
4. Reduced incident resolution time by 35% and overall downtime by 20% through RCA and monitoring
5. Achieved 93% SLA compliance resolving production incidents via email and ticketing systems
6. Tech Stack: RHEL, MySQL, GitHub, Jenkins, Grafana, Postman, NEST Trading Platform, DBeaver, ITIL
1. June 2024 - July 2024 | Remote
2. Developed an AI Plant Disease Recognition System analyzing 100k+ leaf images to detect 30+ diseases in real time
3. Achieved over 95% accuracy using a deep CNN
4. Enabled early detection, reducing crop losses by up to 30% and chemical use by 25%, promoting sustainable precision farming
5. Built a Streamlit web interface for image upload and diagnosis with confidence scores and recommendations
6. Tech Stack: ML Libraries, Streamlit, Python, Jupyter Notebook | Agile SDLC
1. May 2024 - June 2024 | Remote
2. Built a full-stack E-learning solution that integrates 20+ essential apps into a single platform, solving the problem of scattered student tools
3. Integrated real-time chat, personal AI chatbot, smart clock, Harvard lectures, ad-free media player, notepad, drawing board, text-to-speech, AI image generator, and quizzes
4. Managed the project via GitHub
5. Tech Stack: Django, MERN, Python, ML Libraries, Streamlit, HTML, CSS, JavaScript, APIs, Postman
6. SDLC- V-Model SDLC
1. Strengthened verbal and written communication skills for professional settings.
2. Trained in corporate etiquette and workplace professionalism.
3. Gained practical knowledge of time and task management techniques.
4. Developed strong teamwork, collaboration, and leadership abilities.
5. Practiced resume building, mock interviews, and job readiness.
6. Boosted self-confidence and presentation skills for career growth.
1. Empowering Students: Building an Integrated Application for Enhanced Productivity, Efficiency, and Creativity (Oct 2024)
2. Published in IJSRNSC, a Google Scholar-indexed international journal
3. Based on Alam-e-Study: 20+ student-focused modules (notes, AI assistant, chatbot, smart clock) in one free-to-use system
4. Achieved a 30% increase in student productivity and used by 300+ students
5. Built with HTML, CSS, React, Python & JavaScript
1. AI-driven Model for Crop Disease Detection, Yield Prediction, and Crop Recommendations using Machine Learning & CNN
2. Submitted to Elsevier's Scopus-indexed international journal (under peer review)
3. Based on Crop360: disease detection (CNN), crop recommendation (soil & climate), and yield prediction (ML) in one decision-support framework
4. Demonstrated a 41% increase in healthy crop yield production
5. Designed for both rural and urban farming communities
1. Achieved All India Rank 1113 in CUET UG 2022.
2. Secured admission in the first round of counseling.
3. Completed B.Tech in Computer Science and Engineering (Nov 2022 - June 2025) with CGPA 8.02/10.
4. Strong grasp of Physics, Chemistry, Math, English, Reasoning, and Graphical Engineering.
5. Consistently demonstrated academic excellence and dedication.
6. Studied at Khwaja Moinuddin Chishti Language University, Lucknow, a State government University.
1. Secured State Rank 30125 in JEECUP 2019 (Uttar Pradesh Polytechnic Entrance Exam).
2. Admitted to Government Polytechnic Kenura, Sultanpur for a Diploma in Mechanical Engineering (2019 - 2022, CGPA 7.2/10).
3. Acquired foundational knowledge in Mechanical Engineering principles, workshop practices, and technical drawing.
4. Strengthened problem-solving skills in applied mechanics, thermodynamics, and manufacturing processes.
5. Leveraged this diploma to pursue higher technical education in engineering.
1. Solved 636+ programming and DSA questions on LeetCode and GeeksforGeeks.
2. Winner of the National Teachers' Day E-Quiz 2021, Govt of India.
3. Completed the Generative AI Workshop - Build Your Own AI Model (NxtWave).
4. Completed Harvard University CS50 (Batch 2024).
5. Completed SWAYAM courses in OOP and DSA, and a GrowthSchool AI Workshop.
6. Competitive multi-sport athlete (cricket, hockey, football) with a never-give-up attitude and team-leadership experience.