Fullstack Engineer with 1+ years in AI, Python & Cloud
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Pratik Dhage is an aspiring Fullstack Engineer with 1.0 years of experience, specializing in AI, Python, and cloud technologies. Currently pursuing a Bachelor of Technology in Computer Science and Engineering (AI) at Vishwakarma Institute of Information Technology, Pratik has gained practical experience developing AI agents using FastAPI and OpenAI SDK, deploying cloud infrastructure on AWS, and working with multi-agent systems. His projects showcase expertise in LangGraph, MongoDB, and optimizing response times for intelligent systems, making him a proficient developer in AI-driven solutions.
Vishwakarma Institute of Information Technology
Bachelor of Technology · Computer Science and Engineering (AI)
August 1, 2023 – June 30, 2027
humlai
Computer Vision and Machine Learning Full Stack Dev Intern
March 1, 2025 – February 1, 2026
Bengaluru, Karnataka, India
Agentic AI System for Autonomous MSME Operations
January 1, 2026 – February 1, 2026
• Designed a decision-centric multi-agent AI system to autonomously manage MSME operations, ingesting real-time signals via WhatsApp for customer requests, supplier updates. • Implemented stateful agent orchestration with 7 specialized agents, having 280 ms average response time and handled throughput of 150 requests/minute. • Built a central operational state store in MongoDB to support dynamic inference and system-wide visibility.
View ProjectFinAI: Virtual Chartered Accountant
October 1, 2025 – October 1, 2025
• Built an AI-powered virtual CA using a multi-agent CrewAI architecture, automating 5+ core CA workflows. • Designed agents to parse and analyze over 10 different financial document types, handling diverse data formats. • Integrated Cerebras-backed LLM inference to deliver financial insights with sub-second response latency for real-time tax and investment queries. • Secured sensitive financial data using AES-256 encryption on AWS S3, ensuring end-to-end protection for uploaded documents.
View ProjectDefense-Focused Autonomous Unmanned Aerial Vehicle System Using Ensemble Model of ResNetV8 and ResDQN
IEEE Xplore Digital Library
August 1, 2025 – Present
A Wearable Brain Computer Interface Headphone
Indian Patent Office
June 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including agentic AI systems for MSMEs and financial automation, showcases adaptability and a broad interest in applying technology to different domains. Their involvement in extracurricular activities and hackathons suggests a collaborative spirit and a drive for continuous learning, which are positive indicators for cultural fit. The target role of 'Fullstack Engineer' aligns with their demonstrated skills in both backend development (Python, FastAPI, AWS) and some exposure to frontend concepts (Next.js in FinAI project, though not explicitly detailed).
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex AI system design and implementation. Their involvement in hackathons and publications suggests a proactive and innovative mindset. The project descriptions indicate an ability to work on challenging, real-world problems, which aligns well with operational demands. However, direct evidence of team collaboration beyond project descriptions is limited, though the Coventry University experience hints at it.