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AI ML Engineer with less than a year in building data-driven models and intelligent applications.
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Assessing your cultural and operational fit
SWE with experience in building data-driven models and developing intelligent applications, Strong problem-solving and algorithmic skills demonstrated through competitive programming. building ML applications using Python with hands-on experience in NLP systems and predictive modeling with the ability to translate real-world problems into scalable AI solutions and continuously adapt to emerging technologies. Looking forward to contributing to your company's growth.
SRM Institute of Science and Technology
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
MIT Square
Project Intern
June 1, 2025 – Present
India
Edunet Foundation
AI/ML Intern
December 1, 2024 – May 31, 2025
India
NLP-Based Skill Gap Analysis & Resume Optimization
January 1, 2026 – June 1, 2026
Built an NLP-based system to match resumes with job descriptions and identify skill gaps, using text preprocessing and similarity techniques; developed a Streamlit interface to automate evaluation and reduce manual screening effort.
Heart Disease Prediction App
August 1, 2025 – January 1, 2026
Developed a supervised machine learning pipeline using Scikit-learn for disease prediction, including data preprocessing and feature selection, and designed a simple interface for clear and user-friendly results.
Eco Health Project
March 1, 2025 – August 1, 2025
Built a Streamlit-based Climate-Risk Intelligence dashboard using ML to predict air-quality health risks, with real-time inference, policy simulation, and geospatial visualization.
Secure Corporate Network Infrastructure
September 1, 2024 – March 1, 2025
Designed and simulated a segmented enterprise network using VLANs and ACLs in Cisco Packet Tracer, implementing access control policies to improve security and ensure scalable network architecture.
Machine Learning using python
INI SWAYAM
June 1, 2026 – Present
Cloud Computing & Distributed Systems
NPTEL
June 1, 2026 – Present
Foundations of data science
June 1, 2026 – Present
Networking Basics
Cisco Networking Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including NLP, predictive modeling, and geospatial visualization, shows a broad interest within AI/ML. The personal projects align well with an AI/ML Engineer role, indicating a proactive and self-driven learning approach. The competitive programming achievements suggest a drive for continuous improvement and problem-solving, which are positive indicators for cultural fit in a dynamic technical environment. The candidate is still pursuing their B.Tech, which implies a strong learning curve and adaptability.
Soft Skills & Operational Fit
The candidate demonstrates collaborative work experience and an understanding of version control, indicating a foundational operational fit. The competitive programming background suggests strong problem-solving and analytical skills. However, specific soft skills like leadership, conflict resolution, or advanced communication in a team setting are not explicitly detailed.