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AI Engineer with 2+ years in AI/ML, Frontend, and Data Science
Currently pursuing a Master of Technology in Compute Science Information Security, I am a dynamic and results-oriented professional with 2.5 years of experience in AI/ML, frontend development, and data science. My expertise lies in Python, JavaScript, React, and various AI/ML frameworks. I have a proven track record of developing AI-powered solutions, optimizing user interfaces, and deriving insights from complex datasets, demonstrated through significant projects like an AI Resume & Job Matching System and Pharma AI chatbot.
Netaji Subhas University of Technology
Master of Technology · Compute Science Information Security
August 1, 2024 – June 30, 2026
Chhattisgarh Swami Vivekanand Technical University
Bachelor of Technology · Computer Science and Engineering
August 1, 2019 – June 30, 2023
Netaji Subhas University of Technology, Delhi
Research Assistant
July 1, 2024 – Present
Delhi, Delhi, India
COSYUGMA
Frontend Developer Intern
December 1, 2022 – March 1, 2023
India
INTERNATIONAL INSTITUTE OF SDGs PUBLIC POLICY RESEARCH
Data Science Intern
June 1, 2022 – August 1, 2022
India
Pharma AI
June 11, 2026 – Present
Developed Pharma AI, a RAG-based medical chatbot that retrieves relevant information from medical literature and generates accurate,Retrieved answers with 90%+ relevance score across 1,000+ medical queries
View ProjectCareer Copilot: AI Resume & Job Matching System
June 11, 2026 – Present
Developed an AI-powered Job Application Assistant using Python, Streamlit, Gemini API, and PDF parsing to analyze resumes and job descriptions, identify skill gaps, calculate ATS match scores, generate personalized cover letters, and provide interview preparation recommendations.Achieved 85%+ ATS match accuracy across 50 test resumes.
View ProjectMann-Note Visual planner
June 11, 2026 – Present
Implemented real-time editing and dynamic content management features to improve user interaction, workflow efficiency, and seamless note organization across multiple planning boards. Optimized frontend responsiveness and application performance to deliver a smooth cross-device experience, contributing to increased user engagement and usability.
View ProjectLightweight IDS for IoT Networks
June 11, 2026 – Present
Built a lightweight deep learning-based Intrusion Detection System (IDS) for IoT networks to accurately detect malicious traffic with low latency, optimized resource usage, and high classification performance.
Cultural Fit Analysis
The candidate's project portfolio shows a strong interest in AI/ML, aligning well with an AI Engineer role. The diversity of projects, from resume matching to medical chatbots and IoT security, indicates a broad curiosity and willingness to explore different applications of AI. Their academic background in Computer Science and Information Security further supports a strong technical foundation. The blend of academic research and practical project work suggests an adaptable individual who can contribute to both innovative and structured environments. The candidate's involvement in teaching as a Research Assistant also points to a collaborative and knowledge-sharing mindset.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and application through diverse personal projects. Their experience as a Research Assistant suggests an ability to communicate technical concepts and mentor, which are valuable for team collaboration. The internship experiences indicate an ability to work in structured environments and contribute to organizational goals. However, the resume does not provide explicit details on problem-solving methodologies, conflict resolution, or leadership in team settings, which are crucial for senior roles.