
Gopal K.
Python Backend Developer, FastAPI Django AI Integration
Skills

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Portfolio
Work experience
AI Python Developer
Differenz System PVT LTD • Full-time
Jun 2024 - Aug 2025 • 1 yr 2 mos
● Built AI chatbots using LangChain and Gemini, leading to a 40% boost in user engagement. ● Developed custom image/video generation tools with Stable Diffusion, enhancing visual output quality. ● Automated tax calculations through a chatbot, cutting manual queries by 50%. ● Improved backend performance with scalable APIs using FastApi and Django. ● Streamlined workflows via Docker and Make.com, increasing overall team efficiency by 35%
Python with AI | AXISRAY
AXISRAY • Full-time
Dec 2023 - Apr 2024 • 4 mos
→ Spearheaded enhancements to the Drive Inspector project by incorporating advanced Number Plate Detection, OCR, and RTO Database Integration functionalities, leading to a 30% reduction in manual data entry tasks and a 20% improvement in real-time compliance notifications. → Improved Indian number plate detection accuracy to 90% by fine-tuning and adding accurately annotated data. → Orchestrated the capture and processing of roadside video footage, resulting in the creation of robust custom datasets that enhanced model training effectiveness by 40%. → Created a admin dashboard to monitor vehicle detection and details, which increased decision making by 25%.
Software Engineer | Tusker Al PVT LTD
Tusker Al PVT LTD • Full-time
Jul 2022 - Mar 2023 • 8 mos
As an AI Intern, I actively contributed to diverse AI projects, leveraging strong problem-solving skills and a commitment to cutting-edge solutions. Collaborating with a dynamic team of 5 employees, I engaged in discussions and shared innovative ideas, driving successful project execution. → Developed a sophisticated AI-powered person counting system with exceptional accuracy, achieving an impressive rate of 91%. This project showcased my ability to implement robust AI solutions for real-world applications. → Spearheaded challenging number plate recognition project with exceptional problem-solving, achieving outstanding 92% accuracy rate. → Successfully developed an AI-based fire and smoke detection system, delivering a remarkable accuracy rate of 85%. → As the main dataset contributor, I meticulously prepared 80 computer vision datasets, ensuring data integrity and proper labelling.