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Available for Opportunities

Hi, I'm Prashik Fulke.

I'm an Artificial Intelligence and Data Science undergraduate.

00. Who I Am

About Me

I am passionate about solving real-world problems by combining intelligent data models with robust software architecture. My approach focuses on building scalable systems that are both analytically profound and beautifully designed.

Academic Foundation: B.Tech in AI & Data Science at Anjuman College of Engineering (Expected 2026).

AI & Security Focus: Building ML/DL models (Autoencoders, Isolation Forests) for real-time cybersecurity.

Full-Stack Execution: Python, HTML/CSS, Firebase, DigitalOcean deployment.

Problem Solver: Analytical thinker creating scalable, security-driven applications.

01. What I Use

Tech Arsenal

Bridging the Gap

I specialize in standing at the intersection of data science and software engineering. From training deep learning models for anomaly detection to building responsive, user-friendly web applications, I bring end-to-end technical execution to every project.

AI & Data Science

Machine LearningDeep LearningAnomaly DetectionPrompt Eng.

Languages & DBs

PythonSQLHTML/CSSFirebase RTDB

Infrastructure & Tools

FirebaseDigitalOceanStreamlitREST APIsGit & GitHubVS Code

02. Selected Work

Featured Projects

Independent Project, span of 2 weeks

Baxton: Autonomous Agent

  • Multi-Agent LLM Orchestration using LangGraph, LangChain, and multiple LLMs.
  • RAG & Persistent Memory via Supabase (PostgreSQL) with pgvector.
  • Autonomous Audience Engagement and Background DM Negotiation & Follow-up.
PythonFastAPILangGraph/LangChainPlaywrightSupabaseGroq/NVIDIA APIsSQLite

Independent Project, Aug 2025

OSAgent

  • Engineered a highly responsive web application with a robust Firebase backend architecture.
  • Deployed securely on DigitalOcean, achieving a 30% improvement in load performance.
HTML/CSSFirebaseDigitalOcean

Softsense Intern, Mar - Apr 2025

AI Log Monitoring & Threat Detection

  • Reduced false positives by 30% through advanced anomaly detection models.
  • Processed and analyzed real-time log streams for instantaneous threat alerts.
PythonMachine Learning

03. My Journey

Experience & Education

Intern (AI & Cybersecurity)

Softsense Technoserve | Mar 2025 - Apr 2025

Spearheaded the development of AI models for network anomaly detection. Successfully achieved over 90% detection accuracy in identifying anomalous network behaviors and potential threats.

B.Tech in AI & Data Science

Anjuman College of Engineering | Expected 2026

Focusing on machine learning, deep learning, and robust software engineering practices. Current Average Aggregate: 6.60.

12th (HSC)

Sindhu Mahavidyalaya | 2021 - 2022

Completed higher secondary education with a focus on science and mathematics. Secured 62%.