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Software Engineer with less than a year in AI/ML & Backend Development
Artificial Intelligence and Data Science undergraduate and Software Development Intern seeking an internship opportunity in software development, backend engineering, or AI/ML. Hands-on experience in Python, FastAPI, REST API development, PostgreSQL, MongoDB, SQL, Git, TensorFlow, LangChain, LLMs, and Retrieval-Augmented Generation. Skilled in building scalable backend APIs, database-driven applications, AI-powered systems, machine learning models, and automation workflows with strong problem-solving and software engineering fundamentals.
PES Modern College of Engineering
B.E. · Artificial Intelligence and Data Science
August 1, 2023 – June 30, 2027
Avinya Technologies
Software Development Intern
February 1, 2026 – Present
Pune, Maharashtra, India
AgroScan AI – Plant Disease Detection System
June 1, 2026 – Present
Built a deep learning-based plant disease detection system using MobileNetV2, transfer learning, and image preprocessing. Achieved 90%+ model accuracy and deployed model inference through a FastAPI backend for real-time prediction. Integrated disease-specific treatment suggestions and REST API endpoints for web and mobile application integration.
View ProjectLexFlow AI – Legal Workflow Assistant
June 1, 2026 – Present
Built a full-stack AI legal workflow assistant for case document analysis, legal research, draft generation, and contextual case queries. Implemented Retrieval-Augmented Generation pipelines using LangChain to retrieve relevant legal context and generate accurate responses. Designed REST APIs for document upload, case management, AI chat, PDF summarization, legal drafting, and intelligent response generation.
View ProjectPython Certification
Unknown
June 1, 2026 – Present
Advanced AI & Green Skills Training
Edunet
June 1, 2026 – Present
Mediva - Smart Pill Box Rover System
June 1, 2026 – Present
Developed an IoT-based smart pill box rover system for automated medication management, reminders, and patient assistance. Implemented alarm scheduling through a Streamlit interface with ThingSpeak API integration for real-time data updates. Integrated ESP32-based wearable monitoring for heart rate and SpO2 tracking with alert features for abnormal conditions.
View ProjectCultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in AI/ML applications across diverse domains (legal, agriculture, IoT), indicating adaptability and a broad perspective. Their involvement in hackathons and achieving a high academic rank suggests a collaborative and high-achieving mindset. However, the candidate is still early in their career, and their experience is primarily academic and internship-based, which might require mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience suggest strong problem-solving abilities and a proactive approach to learning and applying new technologies. Their academic achievements and hackathon participation indicate a competitive and driven work attitude. The focus on AI/ML and backend development aligns well with roles requiring innovation and robust system design.