I engineer intelligent, production-grade software — systems that don't just run,
but reason. My work sits at the intersection of Agentic AI, full-stack
engineering, and data-driven product thinking.
- 🧠 Focused on Agentic AI systems, LLM-integrated applications, and autonomous automation pipelines
- 🏗️ Full-stack builder — Flask backends, interactive dashboards, and REST API-driven architectures
- 📊 Strong foundation in data analytics, EDA, and predictive modeling using Pandas, NumPy, and Scikit-Learn
- 🎯 Product-engineering mindset — I build tools that solve real business problems, not just demos
- 🎓 B.Tech in Artificial Intelligence & Data Science, Government College of Engineering, Kolhapur (Expected 2027)
🔭 Open To
- Software Engineering Internships / New Grad Roles
- AI/ML Engineering Opportunities
- Agentic AI & LLM Application Development
- Open Source Collaboration
Languages
Frontend
Backend & Databases
Cloud, DevOps & Tooling
| Domain | Proficiency | Details |
|---|---|---|
| Agentic AI Systems | ⭐⭐⭐⭐☆ | Designing autonomous, multi-step AI pipelines with scheduled monitoring and reporting |
| LLM Integration | ⭐⭐⭐⭐☆ | Integrated Groq LLaMA 3 for insight generation, summarization, and automated reporting |
| Machine Learning | ⭐⭐⭐⭐☆ | Regression, Random Forest, feature engineering, model evaluation (MAE, RMSE, R²) |
| Prompt Engineering | ⭐⭐⭐☆☆ | Structured prompting for consistent, production-ready LLM outputs |
| Data Analytics & EDA | ⭐⭐⭐⭐⭐ | End-to-end EDA, preprocessing, and visualization on large real-world datasets |
| Business Intelligence | ⭐⭐⭐⭐☆ | Tableau dashboards for KPI tracking and business reporting |
🚀 SpyLens — Agentic AI Competitor Intelligence Platform
An agentic AI platform that autonomously monitors startup competitors via GitHub activity and website updates, generating actionable intelligence reports.
| Category | Details |
|---|---|
| Stack | Python, Flask, Groq LLaMA 3, GitHub API, BeautifulSoup, SQLite, Docker |
| Scale | Multi-source data pipeline with automated scheduling |
| Performance | Continuous monitoring via APScheduler-driven workflows |
| Security | Containerized deployment isolating service dependencies |
| Impact | Automated weekly intelligence summaries, reducing manual competitor research |
| Repository | View Repository |
Built an agentic AI platform integrating GitHub REST APIs and web scraping pipelines to gather competitor intelligence, with Groq LLaMA 3 generating opportunity reports and weekly summaries. Includes an interactive Flask dashboard backed by SQLite for competitor management and report visualization, containerized and deployed with Docker.
Live Demo: SpyLens Demo
🚀 AI-Powered CI/CD Monitoring & Debugging System
An autonomous DevOps system that uses AI to monitor pipelines and explain failures in natural language.
| Category | Details |
|---|---|
| Stack | Python, Flask, SQLite, GitHub Actions, LLM Integration |
| Scale | Pipeline-wide monitoring across CI/CD workflows |
| Performance | Real-time failure detection and root-cause analysis |
| Security | Read-scoped GitHub Actions integration |
| Impact | Automated GitHub issue creation for failed builds with AI-generated root-cause reports |
| Repository | View Repository |
Implemented AI-powered failure analysis to translate CI/CD errors into natural language explanations, with a live Flask + SQLite dashboard for pipeline health monitoring.
🚀 GCOEK Admission Assistant
A centralized admission guidance platform for prospective engineering students.
| Category | Details |
|---|---|
| Stack | Python, Flask, HTML, CSS, JavaScript, SQLite |
| Scale | Single-institution admissions data platform |
| Performance | Fast search and navigation across admission datasets |
| Security | Structured Flask backend with SQLite data management |
| Impact | Reduced information discovery time by consolidating admission resources |
| Repository | View Repository |
Streamlined access to eligibility criteria, seat matrix, admission procedures, and college information through interactive navigation and search capabilities.
🚀 Result Analysis & Certificate Generator System
An automated academic result analysis and certificate generation platform.
| Category | Details |
|---|---|
| Stack | HTML, JavaScript, XLSX.js |
| Scale | Institution-wide student record processing |
| Performance | Dynamic Excel dataset processing at scale |
| Security | Client-side data processing, no external transmission |
| Impact | Automated certificate creation, reducing manual reporting effort |
| Repository | — |
Processed Excel datasets dynamically to generate university-style marksheets and certificates, with subject-wise performance analysis and visualization.
Intern · Yuvaa (Remote)
Jul 2025 – Aug 2025
Collaborated with cross-functional teams to analyze business challenges and recommend technology-driven solutions.
- Organized datasets, reports, and documentation supporting project execution and decision-making
- Participated in workshops and presented analytical/project findings
- Assisted in research, documentation, and process optimization initiatives
- Explored emerging technologies to improve internal workflows and efficiency
Business Analysis Documentation Process Optimization Cross-functional Collaboration
| Recognition | Details |
|---|---|
| 🏆 Project Portfolio | Built and deployed 4+ end-to-end AI, Data Analytics, and Software Engineering projects |
| 🏆 Agentic AI Development | Developed applications integrating LLMs, APIs, automation workflows, and web scraping |
| 🏆 Predictive Modeling | Built ML models (Regression, Random Forest) evaluated with MAE, RMSE, and R² |
| 🏆 DSA Practice | Actively practices Data Structures & Algorithms using Python and LeetCode |
AWS
Oracle
Other Providers
Learning:
- Advanced Agentic AI architectures
- LLM orchestration & multi-agent systems
- Cloud-native deployment (AWS, Docker)
Building:
- SpyLens (Agentic AI Competitor Intelligence Platform)
- AI-Powered CI/CD Monitoring & Debugging System
Exploring:
- Retrieval-Augmented Generation (RAG)
- Scalable full-stack architectures for AI products
Open To:
- Software Engineering / AI Engineering Roles
- Open Source Collaboration
"Building systems that reason, not just run."