Available for Internships & Entry-Level Roles
Full Stack Developer & AI/ML Engineer
B.Tech CSE (AI & ML) student building production-ready systems — from intelligent prediction models to enterprise-grade Java backends.
class Developer:
def __init__(self):
self.name = "Mohd Salim Naeem"
self.role = "Full Stack + ML"
self.stack = [
"Java", "Spring Boot",
"Python", "React",
"MySQL", "Scikit-Learn"
]
self.open_to = "Internships"
def build(self, idea):
return "Production-ready solution"I'm a final-year B.Tech student specialising in Artificial Intelligence & Machine Learning, with hands-on expertise in Full Stack Java development and predictive modelling.
Through industry collaborations with IIT Kharagpur (Kshitij) × Ediglobe, I've built end-to-end ML pipelines and enterprise-grade applications — blending academic rigour with real-world engineering discipline.
I bring clarity of thought, strong communication, and a problem-first mindset to every project I take on.
Engineered a complete banking platform with ATM-style transaction flow, role-based access control, and a secure Java Swing GUI. The system handles real-time fund transfers, balance inquiries, and encrypted user authentication — production-level architecture built from scratch.
Designed and deployed a full-featured library operations platform, enabling real-time book search, borrowing history tracking, and automated overdue reporting. Implemented complete CRUD operations with JDBC-powered MySQL integration for efficient, scalable data retrieval.
Built and benchmarked multiple classification models — Logistic Regression, Decision Tree, Random Forest, and Neural Networks — to predict heart disease presence from clinical features. Applied rigorous preprocessing and model comparison to identify the highest-accuracy approach.
Developed a logistic regression model for a digital marketing agency to predict ad-click likelihood, classifying users as 'likely to click' or 'unlikely to click'. Used behavioural signals like daily internet usage and demographics to maximise Return on Ad Spend (ROAS) for clients.
IIT Kharagpur (Kshitij) × Ediglobe — Remote
Flikt Technology Web Solution
Software Engineering Job Simulation
Microsoft 365 Copilot for Administrators
Machine Learning — Minor & Major Projects
Rare blend of enterprise Java backend skills and hands-on machine learning — I can contribute across the stack from day one.
Not just academic work — I've built systems with real-world architecture: authentication, APIs, database design, and deployment pipelines.
Trained under a programme in collaboration with IIT Kharagpur and recognised with a Letter of Recommendation for performance.
Spring Boot, REST APIs, MySQL, React, Power BI — proficient in the exact tools modern engineering teams use daily.
Strong written and verbal communication skills — I document code, explain decisions clearly, and collaborate across teams effectively.
Actively upskilling through certifications (Accenture, Microsoft) while delivering quality projects — I don't wait to learn, I learn by doing.
Open to internships, entry-level roles, and project collaborations. I respond within 24 hours.