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AI Engineer with 1+ years in Machine Learning & LLM Integration
Results-oriented AI & Data Science undergraduate with hands-on experience designing and deploying machine learning models, LLM-powered applications, and agentic AI systems. Proficient in Python, Scikit-learn, TensorFlow, and LangChain. Proven ability to preprocess large datasets, build predictive models, and document findings in production-ready applications. Passionate about applying ML to real-world problems and contributing to impactful data science projects.
B. S. A. Crescent Institute of Science and Technology
B.Tech · Artificial Intelligence & Data Science
August 1, 2023 – June 30, 2027
Cuminds Innovations
Agentic AI Intern
June 1, 2025 – Present
India
Med AI — Medical Document Analyser
June 20, 2026 – Present
Engineered a multi-modal ML system to parse 100+ prescriptions and medical bills, providing diagnostic insights and cost breakdowns via LLMs. Implemented structured multi-agent workflows for diagnosis analysis and expense optimization, reducing data extraction errors by 25%. Preprocessed and structured diverse scanned and digital PDF datasets using a high-accuracy OCR pipeline (Tesseract, pdf2image).
View ProjectHaloTap — Wearable Child Safety Device
June 20, 2026 – Present
Developed wearable SOS hardware with real-time GPS location tracking and instant alerts with under 2s latency, integrating edge computing with a mobile companion app. Engineered a native Android app establishing seamless communication with device GPS/SIM hardware for real-time user monitoring.
View ProjectLLM-Powered Resume Analyser with Job Matching
June 20, 2026 – Present
Developed an offline-first platform using a 4-agent LangChain architecture and local LLMs, achieving zero-latency secure document understanding. Engineered discrete AI agents to parse resumes against job descriptions, extract 50+ key competencies, and generate targeted technical and behavioural question banks. Integrated an automated feedback loop to score candidate responses, identify skill gaps, and rewrite answers using the STAR method.
View ProjectMachine Learning
CodeChef
June 1, 2026 – Present
Python (Basic)
HackerRank
June 1, 2026 – Present
Agentic AI Hands-on Project
Cuminds Innovations
June 1, 2026 – Present
Agentic AI Internship Completion
Cuminds Innovations
June 1, 2026 – Present
Python Programming
CodeChef
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in applying AI to real-world problems, from healthcare to HR and child safety, indicating a proactive and innovative mindset. The breadth of technologies used (Python, C++, LangChain, Streamlit, OCR, embedded systems) suggests a willingness to learn and adapt. The personal projects and internship align well with a culture that values hands-on development and practical application of AI concepts. The candidate is still an undergraduate, which might indicate a need for mentorship and structured guidance, but also brings fresh perspectives and enthusiasm.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a results-oriented approach, with quantifiable achievements (e.g., 'reducing manual review time by 40%', 'increasing data throughput by 30%'). The focus on developing production-ready applications and integrating real-time APIs suggests an operational fit for roles requiring practical deployment and performance optimization. However, without direct behavioral assessment, specific soft skills like teamwork, leadership, or conflict resolution cannot be definitively evaluated.