Data Science with less than a year in Generative AI and Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML professional with experience in applied machine learning, deep learning, and generative AI systems. B.Tech graduate (CGPA: 8.70) with strong expertise in Python, SQL, PyTorch, TensorFlow, LangChain, LangGraph, Scikit-learn, OpenCV, Pandas, and NumPy. Proven ability to translate business requirements into scalable AI solutions and deliver production-ready AI systems.
Parul Institute of Technology
Bachelor of Technology · Computer Science & Engineering (CSE)
August 1, 2021 – June 30, 2025
Algobrain AI
AI/ML Engineer
August 1, 2025 – December 1, 2025
Surat, Gujarat, India
ISRO
Research Intern
December 1, 2024 – April 1, 2025
Ahmedabad, Gujarat, India
SmartHarvest
June 24, 2026 – Present
Built an integrated smart agriculture system combining crop and fertilizer recommendation based on soil data and nutrient analysis, along with plant disease detection through leaf image analysis for actionable treatment insights. Leveraged a Kaggle dataset of 70,000 images to implement plant disease prediction with deep learning techniques. Applied Random Forest on soil nutrient data to recommend optimal crops and fertilizers, achieving 97% accuracy. Developed a custom ResNet9 CNN in PyTorch with residual connections to classify plant diseases from agricultural images. Integrated the whole pipeline into a Flask web app handling real-time predictions for crops, fertilizers, and plant diseases.
View ProjectMediFusion-AI
June 24, 2026 – Present
Developed a multimodal medical chatbot using Gradio, enabling users to upload medical images and record voice queries for real-time analysis. Integrated Groq's Whisper-Large-v3 model for high-accuracy speech-to-text transcription of patient audio. Leveraged a Meta-Llama vision-instruct model to perform differential diagnosis on uploaded images, generating concise, doctor-style responses. Added dynamic text-to-speech output via ElevenLabs, producing realistic spoken feedback for an end-to-end conversational experience.
View ProjectDeepFake Detection
June 24, 2026 – Present
Trained multi-branch CNN ensemble (EfficientNetB4, Xception) on DFDC and FaceForensics++ datasets (3.5M frames). Achieved 91% detection accuracy across combined benchmarks. Deployed Streamlit-based inference app with real-time threshold control.
View ProjectData Analytics with Python
IIT Roorkee (NPTEL)
June 1, 2026 – Present
Software Engineering Course
IIT Kharagpur (NPTEL)
June 1, 2026 – Present
Python for Data Science, AI & Development
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from medical chatbots to smart agriculture and deepfake detection, indicates a broad interest in applying AI to various domains. Their involvement in both personal projects and an internship at ISRO suggests a proactive and research-oriented mindset. The skills listed and projects undertaken align well with a data science role, demonstrating adaptability and a willingness to tackle different challenges.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex project implementations and an ability to translate business requirements into technical solutions. Their experience with collaborative projects (Algobrain AI) suggests good teamwork potential. The detailed project descriptions indicate a structured approach to development and deployment, aligning with operational best practices.