Anurag Jamankar — DevOps Engineer

🚀 AI & Software Development Enthusiast | SDE | Data Scientist I am a Software Development Engineer (SDE) with one year of internship experience in AI-driven software solutions. Specialized in Django, AI integration, and SDLC automation, with expertise in backend development, prompt engineering, and database structuring (SQL, Neo4j). Proven ability to lead teams, manage sprints, and develop scalable applications using Agile methodologies. Passionate about AI-powered automation, multi-modal AI assistants, and intelligent coding systems. Currently researching AI-driven healthcare applications and advancing AI-powered coding agents for autonomous development. Professional Experience 💡 AI-Powered SDLC Automation: Developed a subscription-based SDLC tool integrating OpenAI API and Django, enabling automated documentation, test case generation, and intelligent code writing, enhancing team productivity by 40%. 💡 Code Migration & AI-Driven Refactoring: Led a team in designing a smart code converter that analyzes client and user requirements, refactors legacy systems, and upgrades tech stacks dynamically, ensuring scalability and maintainability. 💡 Supply Chain Risk Management with AI: Implemented AI-based risk assessment models, analyzing 12+ risk categories to enhance predictive analytics and decision-making in supply chain operations. Technical Expertise • Software Development Methodologies: Agile, Scrum, Lean, Sprint Planning. • Programming & Framework: Python, OOPS, Django, MVT Architecture. • Database Systems: SQL, Graph DataBase (Neo4j). • Data Science & Machine Learning: TensorFlow, PyTorch, Scikit-learn, Natural Language Processing (NLP), Predictive Analytics. • Mathematical & Statistical Tools: NumPy, Pandas, MATLAB, SciPy. • LLM Frameworks & APIs: OpenAI (GPT), DeepSeek, Gemini, Claude, LangChen, Hugging Face, NVIDIA models, Coding Agents. • Version Control: Git, GitHub. Ongoing Research & Prototyping AI-Powered Autonomous Coding Agents with LangChain ✅ Researching how AI agents can write, debug, and optimize code autonomously. ✅ Utilizing LangChain + OpenAI + Vector DBs for contextual understanding. ✅ Applications in AI pair programming & automated software development. Building a Multi-Modal AI Assistant with LLMs and Hugging Face ✅ Developing AI that can understand text, images, and code together. ✅ Leveraging Hugging Face Transformers + OpenAI Vision Models. ✅ Application: AI assistant for software documentation and bug fixes.

Stackforce AI infers this person is a Software Development Engineer specializing in AI-driven solutions and automation in SaaS and Healthcare.

Location: Pune, Maharashtra, India

Experience: 4 mos