name: Dachapalli Bhavashesh
role: Backend Developer & Machine Learning Engineer
education: "B.Tech CSE @ SRMIST (CGPA: 9.56/10)"
experience: "Samsung Prism R&D Intern"
specialization: ["Spring Boot", "Docker", "AWS", "Deep Learning"]
achievements: "Red Bull Basement Top 3 | Enduraverse'25 Runner-Up"
focus: "Building scalable microservices and ML-powered systems"Samsung R&D Institute India, Bangalore | March 2025 β Present
- Analyzed multimodal datasets achieving 94%+ accuracy in anomaly detection
- Designed scalable ML pipelines with Docker on Linux environments
- Optimized workflows using GPU acceleration, reducing training time significantly
- Implemented explainability methods for improved model transparency
- Collaborated in Agile teams aligning technical solutions with business goals
class CompetitiveProgrammer:
def __init__(self):
self.leetcode_solved = "150+"
self.codeforces_rating = 472
self.codechef_solved = "110+"
def problem_solving_focus(self):
return [
"Data Structures & Algorithms",
"Dynamic Programming",
"Graph Algorithms",
"System Design"
]
def platforms(self):
return {
"leetcode": "150+ problems",
"codeforces": "Rating: 472",
"codechef": "110+ problems"
}| Achievement | Details |
|---|---|
| π₯ Red Bull Basement | Secured Top 3 with real-world analytical solution |
| π₯ Enduraverse'25 | 2nd Runner-Up among top 6 national teams |
| π TEM-E-THON'25 | Top 10 Finalist from 5,000+ applicants |
| β Smart India Hackathon 2024 | Qualified internal round with scalable project |
const certifications = {
cloud: [
"AWS Certified Cloud Practitioner (Foundational)",
"AWS Educate - Introduction to Generative AI",
"AWS Academy - Machine Learning Foundations"
],
development: [
"Spring Boot React JS Full-Stack Course",
"The Complete SQL Bootcamp",
"GitHub Foundations"
],
fundamentals: [
"Introduction to Database Systems (NPTEL)",
"Programming in Java (NPTEL)",
"Cognitive Class Python 101"
]
};
console.log("Continuous learning is the key to growth! π");current_stack:
backend: ["Spring Boot", "Spring Security", "RESTful APIs"]
ml: ["Deep Learning", "Transformers", "RAG Models"]
cloud: ["AWS", "Docker", "Linux"]
building_next: "Scalable ML-powered backend systems"
exploring:
- Microservices Architecture
- Model Deployment & MLOps
- Cloud-native Applications
open_to_collaborate:
- Backend Development Projects
- ML/AI Applications
- Open Source Contributions
competitive_programming: "Active on LeetCode, Codeforces, CodeChef"



