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AI Engineer with 1+ years in Machine Learning & Generative AI
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI & Data Science graduate with hands-on experience in Machine Learning, Generative AI, LLM-powered applications, and multi-agent AI systems. Proficient in Python, LangChain, TensorFlow, PyTorch, and Streamlit. Skilled at building end-to-end AI solutions, multimodal applications, and intelligent automation systems with a strong foundation in NLP, Deep Learning, and Computer Vision.
Samrat Ashok Technological Institute (SATI), Vidisha
Bachelor of Technology (B.Tech) · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
Model Higher Secondary School
Senior Secondary (Class XII) · Science
N/A – May 31, 2021
Cyber Cell, Police Department, Vidisha
Intern Developer
May 1, 2025 – November 1, 2025
Vidisha, Madhya Pradesh, India
SATI Vidisha
Team Head Machine Learning Internship
June 1, 2023 – July 1, 2023
Vidisha, Madhya Pradesh, India
Advanced Agentic AI Healthcare System
June 21, 2026 – Present
• Built a full-stack agentic AI healthcare platform using a custom multi-agent architecture. • Designed 8 specialist AI agents and a Master Orchestrator Agent for automated diagnosis workflows. • Implemented multimodal input support: text, voice, image, and medical report processing. • Integrated Groq-powered LLaMA models and Whisper Large V3 for real-time conversational AI. • Developed a disease prediction pipeline covering 41 diseases across 132 symptoms.
Multilanguage Invoice Extractor
June 21, 2026 – Present
• Built an LLM-powered invoice extraction system with support for 5+ languages. • Achieved 90% extraction accuracy and reduced manual processing effort by 60%. • Validated performance across 1,000+ multilingual invoice samples.
Diamond Price Prediction System
June 21, 2026 – Present
• Trained regression models on 50,000+ records, achieving 92% prediction accuracy. • Reduced prediction error through feature engineering and hyperparameter tuning. • Benchmarked multiple ML algorithms to identify the optimal performance configuration.
Cultural Fit Analysis
The candidate's project portfolio, particularly the 'Advanced Agentic AI Healthcare System' and 'Multilanguage Invoice Extractor', shows an interest in practical, impactful AI applications. The 'Intern Developer' role at Cyber Cell indicates an ability to contribute to public-facing platforms and work within a structured environment. The breadth of skills across AI/ML, Generative AI, NLP, and Computer Vision suggests a versatile individual who could adapt to various team needs. The academic background in AI & Data Science aligns well with a research and development-focused culture.
Soft Skills & Operational Fit
The candidate demonstrates initiative and leadership through the 'Team Head Machine Learning Internship' role. Project descriptions indicate a results-oriented approach (e.g., 'achieved 90% extraction accuracy', 'reduced operational response time by 25%'). The variety of projects suggests adaptability and a willingness to tackle diverse challenges. However, without direct assessment data, specific soft skills like teamwork, problem-solving under pressure, or communication style cannot be definitively evaluated.