AI Engineer with less than a year in IoT & AI, with foundational experience in predictive modeling a
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Highly motivated Computer Science & Engineering Undergraduate with a focus on IoT and Cybersecurity. Proven ability in developing AI-powered solutions, optimizing system performance, and contributing to open-source projects. Eager to apply strong technical skills in Python, AI, and web technologies to innovative engineering challenges.
Dronacharya College of Engineering (Gurugram University)
Bachelor of Technology · Computer Science & Engineering (IoT & Cybersecurity)
August 1, 2024 – June 30, 2028
CodeAlpha
Frontend Development Intern
July 1, 2025 – August 31, 2025
India
PharmaGuardAI – Drug Interaction Risk Predictor
June 6, 2026 – Present
Engineered an advanced pharmacogenomics risk evaluation engine that parses raw genomic variant (VCF) datasets to flag life-threatening drug-to-drug interactions. Integrated generative AI via Gemini API with a robust Flask backend to evaluate complex clinical data strings, delivering actionable, contextualized risk insights. Successfully deployed the live production-ready instance on Render for deployment stress-tests during the RIFT 2026 Hackathon pipeline.
Heart Disease Analyzer AI – Explainable Ensemble ML
June 6, 2026 – Present
Developed a high-performance ensemble machine learning model targeting automated cardiovascular risk stratification using clinical diagnostic datasets. Implemented SHAP-based model interpretability layers, generating clear visual attribution vectors to completely bypass the traditional ML "black-box" limitations.
MachineGuardAI – Predictive Maintenance Dashboard for Industrial IoT
June 6, 2026 – Present
Architected an AI-powered predictive maintenance infrastructure utilizing real-time industrial IoT sensor streams, achieving a verified 92% fault detection accuracy. Optimized edge computation performance by migrating processing pipelines, reducing end-to-end latency by 50% compared to legacy cloud systems.
Binance Futures Testnet Trading Bot
June 6, 2026 – Present
Programmed an automated algorithmic execution bot utilizing asynchronous Binance Futures REST endpoints to manage rapid-fire Market and Limit transactions. Enforced defensive architecture designs featuring real-time input parameter validation, programmatic error safeguards, and structural exception routing.
View ProjectAI-Powered Predictive Maintenance Using IoT and Blockchain
IJACEN
August 1, 2025 – Present
Cultural Fit Analysis
The candidate's involvement in hackathons, open-source contributions, and competitive programming indicates a strong drive for continuous learning and a collaborative spirit. Their diverse project portfolio, ranging from IoT to pharmacogenomics and finance, suggests an open-minded approach to problem-solving and a willingness to explore different domains. This aligns well with a culture that values innovation and cross-functional engagement. However, the academic nature of most projects means real-world team dynamics and enterprise-level collaboration experience are limited.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and a proactive approach to learning and project execution, as seen in their academic projects and hackathon participation. Their leadership role as a Campus Ambassador suggests good organizational and communication skills. The ability to work on diverse projects (IoT, Pharma, Finance) indicates adaptability. However, the lack of professional experience in AI/ML roles means operational fit in a senior AI Engineer role would require significant mentorship and ramp-up.