ML Engineer · B.Tech CSE (AI & ML) @ KIIT · Published @ ICDCIT 2026 · Open to Internships 🚀
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Assessing your cultural and operational fit
KIIT University
Data Scientist
June 21, 2026 – Present
EcoSentinels
May 17, 2026 – Present
AI-powered environmental intelligence platform — real-time ecosystem risk monitoring, biodiversity forecasting & community alert generation using Gemma 4 + RAG
View ProjectTrainSentry
May 13, 2026 – Present
AI-assisted ML training log analyzer — detects overfitting, spikes & stagnation with a rules engine + Gemini-powered debugging narratives
View ProjectAtmosintel-aqi-intelligence
May 1, 2026 – Present
Hyper-local AQI intelligence platform using IDW interpolation, SciPy cKDTree, GeoPandas, and Folium.
View Projectayush-kr-repo
May 1, 2026 – Present
CSE (AI & ML) student at KIIT, building machine learning systems, data products, and AI-powered applications.
View Projectraceiq-f1-intelligence
April 23, 2026 – Present
End-to-end Formula 1 race prediction platform using FastF1, XGBoost, SHAP, temporal validation, and Streamlit.
View ProjectMedXplore_Intelligence
March 29, 2026 – Present
MedXplore_Intelligence — GitHub repository
View ProjectDrug-Expiry-Management-System
March 14, 2026 – Present
Flask + SQLite pharmacy inventory, drug expiry alert, billing, and audit-log management system.
View ProjectSuitsEncoder
September 21, 2025 – October 5, 2025
JurisAI is an AI tool to summarize legal documents and make understanding easy for public
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in applying AI/ML to diverse domains, including environmental science, sports analytics, and legal tech. This breadth indicates adaptability and a curious mindset. However, the candidate's experience level is listed as 0, and the only listed 'experience' is a future role at a university, which suggests this is a student profile. While the projects are impressive for a student, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a professional setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest initiative and a problem-solving mindset, but direct evidence of collaboration, communication, or stress handling is not available.