I am an aspiring Software Engineer specializing in Artificial Intelligence and Data Science. Currently pursuing my Bachelor of Technology at the Government College of Engineering, Kolhapur, my work sits at the intersection of robust backend architectures, developer tooling, and Agentic AI workflow automation.
- 💻 Software Engineering: Passionate about writing clean, modular, and performant code.
- 🧠 AI/ML Systems: Deep focus on integrating Large Language Models (LLMs), natural language debugging, and building autonomous agentic frameworks.
- 🌐 Full Stack Development: Experienced in crafting lightweight, responsive web services integrated with fast client-side tooling.
- 🚀 Product Mindset: Dedicated to building production-ready developer solutions with tight loops and seamless deployment configs.
- 🎯 Open To: Summer 2027 software engineering internships, collaborative AI research, and open-source contributions.
Languages    
|
Frontend & Tools 
|
Backend & Databases    
|
DevOps & Tooling    
|
| Domain | Proficiency | Details |
|---|---|---|
| Agentic AI & Orchestration | Advanced | Designing multi-agent startup research flows, integrating Groq LLaMA models, scraping configurations, and workflow tools. |
| Natural Language Processing | Intermediate | Log file anomaly detection, natural language root-cause reports, automated GitHub issue summarizations. |
| Machine Learning Foundations | Intermediate | Predictive analytics, regression/classification pipelines, model evaluations with Scikit-Learn. |
| Data Processing & Analytics | Advanced | Building structured ETL pipelines, Beautiful Soup parsing, XLSX.js reporting systems. |
🔍 SpyLens — Agentic AI Competitor Intelligence Platform
An agentic AI platform designed to automatically monitor startup competitors through tracked GitHub activity and website changes.
- Workflow Automation: Managed periodic scans and analysis triggers using APScheduler.
- LLM Processing: Deployed Groq LLaMA 3 pipelines to formulate competitor summaries and executive briefs.
- Monitoring Hub: Developed a custom Flask web interface displaying SQLite analytics.
| Attribute | Details |
|---|---|
| Stack | Python, Flask, Groq LLaMA 3, GitHub API, BeautifulSoup, SQLite, Docker |
| Scale | Multi-target scraping pipeline checking repository updates hourly. |
| Performance | Sub-second ingestion of raw API response payloads into SQLite. |
| Security | Sandboxed environment with secure API credential management. |
| Impact | Automates manual company market analysis research workflows. |
| Repository | View SpyLens Source |
🛠️ AI-Powered CI/CD Monitoring & Debugging System
An autonomous DevOps pipeline helper integrated with GitHub Actions to trace pipeline run errors and explain build breakages in natural language.
- Build Pipeline Integration: Monitored pipeline runs using secure GitHub Actions triggers.
- Error Analysis: Analyzed failed standard output logs using generative AI LLM completions.
- Auto-Remediation: Integrated automated issue filing inside the source repository outlining recommended fixes.
| Attribute | Details |
|---|---|
| Stack | Python, Flask, SQLite, GitHub Actions, LLM Integrations |
| Scale | Scales to multiple active repository pipelines simultaneously. |
| Performance | Diagnostic outputs are ready within seconds of action termination. |
| Security | Least-privilege GITHUB_TOKEN bindings limit write actions. |
| Impact | Accelerates debugging cycles by highlighting precise log exceptions. |
| Repository | View CI/CD Debugger Source |
🎓 GCOEK Admission Assistant
A centralized client-facing web application that organizes eligibility standards, seat assignments, and university guidelines.
- Database Design: Normalization of multiple lookup structures in SQLite database tables.
- UI/UX: Constructed interactive navigation filters with pure Javascript.
| Attribute | Details |
|---|---|
| Stack | Python, Flask, HTML, CSS, JavaScript, SQLite |
| Scale | Handles typical admission cycle queries for prospective GCOEK applicants. |
| Performance | Instant search rendering queries on indexed SQLite rows. |
| Security | Implements standard SQL query parameters avoiding injection hazards. |
| Impact | Streamlined student information access during peak onboarding seasons. |
| Repository | View Admission Assistant Source |
📊 Result Analysis & Certificate Generator System
A specialized client-side web utility processing Excel-based student performance data and outputting customizable academic certificates.
- Parsing Utilities: Loaded client-side scripts invoking XLSX.js to extract tabular values.
- Visualizations: Implemented subject performance distributions directly in browser canvas elements.
| Attribute | Details |
|---|---|
| Stack | HTML, CSS, JavaScript, XLSX.js |
| Scale | Supports loading and compiling department-wide grade records. |
| Performance | Near-instant processing (sub-50ms) as computations occur on-device. |
| Security | Highly secure model keeping student personal info local without external data transfers. |
| Impact | Replaced manual report compiling tasks with automated PDF builders. |
| Repository | View Result Analyzer Source |
Date Range: Jul 2025 – Aug 2025
- Collaborated with remote engineering and ops teams to map technology-driven answers to operational business hurdles.
- Aggregated and documented clean datasets to support internal automation projects and proof-of-concept tests.
- Explored emerging AI workflow automation frameworks and presented optimization insights to project managers.
Business Analysis Automation Workflows Data Synthesis Tech Exploration
| Recognition / Goal | Details |
|---|---|
| Project Lifecycle Management | Built, deployed, and containerized 4+ end-to-end applications from the ground up. |
| Agentic System Design | Designed multiple LLM and web-scraping agents that successfully resolve automation problems. |
| Data Structures & Algorithms | Consistently refining analytical code quality via Python algorithmic challenges. |
- Oracle
-
- AWS
-
- Corporate Simulations
-
learning: "Deep Reinforcement Learning & Multi-Agent Coordination Systems"
building: "Enhanced prompt-routing templates & log parser utilities"
exploring: "Local agent configurations & model quantization standards"
open_to: "Collaborations on AI tooling and enterprise software stacks"
"Simplicity is the soul of efficiency." — Austin Freeman