Hi there, I'm Akshit Calonia! 👋

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🚀 About Me

class AkshitCalonia:
    def __init__(self):
        self.role = "ML Engineer & Full Stack Developer"
        self.location = "Atlanta, GA"
        self.education = "CS @ Georgia State University (GPA: 3.9/4.0)"
        self.graduation = "May 2027"
        
    def current_focus(self):
        return [
            "Optimizing LLM inference at scale",
            "Building distributed AI systems",
            "Cloud-native architectures"
        ]
    
    def achievements(self):
        return {
            "HackMIT 2024": "🥇 Best Financial Hack (Capital One)",
            "Hacklytics 2024": "🥇 Generative AI Track (Microsoft)",
            "HackGT 11": "🥈 AI Funhouse Category"
        }

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💼 Experience

🔹 Machine Learning Engineering Intern @ Cisco

Jun 2025 – Aug 2025 | Boulder, CO

• ⚡ Optimized LLM inference engines (vLLM, TensorRT-LLM) for LLaMA-3.1 models
• 🎯 Achieved sub-100ms P99 latency and 35% cost reduction
• 📊 Built automated monitoring system serving 2M+ daily queries
• 🔧 Engineered RAG observability dashboard processing 50K+ operations/day

🔹 Software Engineering Intern @ AI-ALOE Research Lab

Jan 2025 – May 2025 | Atlanta, GA

• 🎨 Built React + Tailwind dashboard with Express.js backend
• ☸️ Migrated infrastructure to Kubernetes, improving latency by 40%
• 🚀 Optimized PostgreSQL queries from 450ms → 85ms
• 🔄 Implemented CI/CD pipelines using Jenkins and Git

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🛠️ Tech Stack

Languages

Frameworks & Libraries

Cloud & DevOps

Databases

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🏆 Achievements & Awards

🎯 Event	🏅 Achievement	💡 Category
HackMIT 2024	🥇 1st Prize	Best Financial Hack (Capital One)
HackMIT 2024	🥇 1st Prize	Best Knowledge Graph Challenge
Hacklytics 2024	🥇 1st Prize	Generative AI Track (Microsoft)
HackGT 11	🥈 2nd Prize	AI Funhouse Category
Delta Analytics	🎓 Scholar	Outstanding Performance in Analytics

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📊 GitHub Stats

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🎯 Featured Projects

🔹 Distributed Trading Analytics Platform (DTAP)

High-volume transactional system with Java Spring + Python | RESTful APIs | Oracle Database

• 🚀 Load-balanced architecture on AWS with Docker/Kubernetes
• ⚡ 99.9% availability with CI/CD pipelines

🔹 InsightSheet: RAG for Excel

Natural language interface for Excel using OpenAI + LangChain

• 🤖 Custom embeddings with FAISS + cosine similarity
• 📊 Context-aware structured data retrieval

🔹 SPOT - Music Discovery Extension

NLP-powered Chrome extension for cross-platform playlist syncing

• 🎵 Spotify ↔️ Apple Music integration
• 📈 Google Analytics for engagement tracking

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📈 Activity Graph

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💭 Random Dev Quote

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💬 Let's Connect!

I'm always interested in collaborating on ML/AI projects, discussing distributed systems, or talking about the latest in LLM optimization!

Feel free to reach out: akshitcalonia@gmail.com

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⭐️ From AkshitCalonia