class Prashanth:
def __init__(self):
self.name = "Prashanth Pilla"
self.role = "Software Developer & AI/ML Engineer"
self.location = "Dallas, Texas, USA"
self.education = "Master's in Computer Science @ UNT (Pursuing)"
self.experience = "3+ Years"
self.passions = [
"Building Scalable Software",
"Pioneering AI/ML Solutions",
"Optimizing Data Pipelines",
"Leveraging Cloud Tech"
]
self.personality = "Passionate, Curious, Sensible, Driven"
def get_expertise(self):
return {
"languages": ["Python", "Java", "TypeScript", "JavaScript", "SQL"],
"frameworks": ["Spring Boot", "Django", "FastAPI", "Flask"],
"ai_ml": ["RAG Pipelines", "PyTorch", "TensorFlow", "Scikit-learn", "Hugging Face"],
"data": ["Pandas", "NumPy", "ETL Pipelines", "Feature Engineering"],
"databases": ["PostgreSQL", "MongoDB", "MySQL", "Elasticsearch"],
"cloud_devops": ["AWS", "Docker", "Kubernetes", "Terraform", "Jenkins"]
}
def career_highlights(self):
return [
"π Hackathon Winner - We Zaap @ UNT",
"π Built LLM-powered interview platform",
"πΌ 3+ years at Xsignon, Fidelity, Cognizant, UNT",
"π Love solving problems with code and creativity!"
]
me = Prashanth()- π Currently Exploring: Cutting-edge AI/ML and software solutions at UNT (Masterβs in Computer Science, expected 2025, GPA: 3.81/4.0)
- π Education: B.S. in Computer Science from Dayananda Sagar Institutions (2018-2022); pursuing Masterβs at UNT
- πΌ Experience: 3+ years as a Software Developer at Xsignon, Fidelity, Cognizant, and UNT
- π Achievement: Led We Zaap, an LLM-powered interview platform, to win a hackathon at UNT
- π€ Focus: Building innovative software and AI/ML solutions with Python, Java, and RAG pipelines
- βοΈ Also Skilled In: Data pipelines (Pandas, ETL) and cloud tech (AWS, Docker)
- π« Reach Me: venkatasaiprashanthpilla@gmail.com | linkedin.com/in/venkatasaiprashanth
- β‘ Fun Fact: Iβm happiest debugging code with a strong cup of coffee and my favorite playlist, turning challenges into wins!
π Portfolio: pvs156-github-io.vercel.app
Building the future with skill, passion, and a lot of coffee

