Ashwin mendhe

Contributed a cloud-based robot and drone monitoring platform from inception, encompassing frontend, backend, real-time communication, and video streaming for production deployment. Engineered real-time monitoring dashboards and live streaming features using React, TypeScript, and HLS.js, improving user engagement by 80%. Engineered backend services with FastAPI, creating REST APIs for mission execution and device management, enhancing real-time data handling. Synchronized robot telemetry, health, and mission states by integrating MQTT/EMQX, WebSocket, and Redis, enabling real-time communication across robots, backend services, and web clients. Orchestrated real-time video workflows using RTMP and HLS, enhancing robot/drone monitoring with lifecycle management and AI video-analysis integration. Enabled remote mission execution and real-time status monitoring for Unitree GO2 robots and DJI drones by integrating cloud workflows, enhancing operational control and data visibility. Enhanced construction safety by implementing AI-assisted monitoring, integrating live streams with object-detection services and web app displays, reducing potential hazards by an estimated 82%. Resolved production issues across React, FastAPI, PostgreSQL, Redis, MQTT, WebSocket, and video-streaming, improving system stability by 70% through comprehensive testing. Accelerated debugging and adoption of unfamiliar technologies by 90% using AI-assisted workflows, validating through comprehensive testing.

Developed a basic RAG (Retrieval-Augmented Generation) pipeline using LangChain, Groq, ChromaDB, FAISS CPU, and LLaMA 3.1 8B Instant for efficient information retrieval and response generation. Developed and deploying RESTful API Design using FastAPI and Django REST, supporting a system that manages over 100+ devices and reducing device provisioning time by 80%. Developed a scalable API integration and backend development reducing data processing time by 70% for over 100+ users. Spearheaded development of a FASTAPI system utilizing agile methodology, enhancing SDLC efficiency by an estimated 80%. Enhanced data security by implementing JWT token-based authentication in a microservices architecture, successfully supporting over 50 daily transactions and improving scalability. Implemented comprehensive Integration tests, improving code quality, code reviews and reducing production issues or bugs by 80% across 4 major projects. Transformed unstructured MongoDB data to structured MySQL, boosting data accessibility by 90% via Pandas and NumPy. Leveraged Apache Kafka architecture for real-time data monitoring, processing millions of data points daily through distributed partitioning. Solid expertise in debugging complex software and device issues on Linux/macOS, including connectivity, login, and webcam/audio problems find root-cause analysis. Implemented efficient coding practices, reducing bugs by 80% and saving 20 development hours weekly. Designed and validated OAS specifications, enhancing API documentation clarity and reducing integration errors by 80%. Best Practices debugging processes by integrating the Gemini 2.0 Flash AI agent, improving efficiency by 70%. Developed robust live video streaming systems leveraging FFmpeg, RTMP, and AWS S3, supporting large-scale sports events with high availability. Automated monitoring of 100+ servers and devices using custom Python plugins in Site24 x 7 increased system performance by 90%. Developed cross-platform SDKs by creating PyPI packages and CLI tools, integrating Continuous Improvement/Continuous delivery CI/CD pipelines to streamline deployment and reduce release cycles by 100%. Built Teams notification system using pymsteams and MongoDB for operational updates. Managing Python scripts to streamline software development processes, reducing manual task time by 80%.

Developed and deployed CNN and ANN models using scikit-learn for pose estimation and classification, achieving 80% accuracy and reducing processing time by 68% for real-time analysis across 1000+ images. Deployed inference APIs on cloud functions AWS utilizing FastAPI/Django and WebSocket, achieving an 100% uptime and supporting over 20 real-time data transactions per second.

Developed backend modules for cryptocurrency analytics using Django and PostgreSQL, processing over 1k transactions daily and improving data retrieval speed by 100%. Developed and deployed ETL data pipelines, data modeling utilizing pandas and numpy and integrating 10+ real-time exchange APIs (e.g., Binance, WazirX), processing over 30-40 transactions daily and reducing data latency by 100%.

Develop 3 Flask-based dashboards, improving data visualization for healthcare analytics, leading to a 100% reduction in report generation time for over 50+ users. Automated analysis of 1K+ TCP/UDP/RTP packets using Python scripts, reducing manual analysis time by 90%. Researched and analyzed multimedia pipelines, including GStreamer and FFmpeg, to optimize video transmission efficiency.