Badri Narayana Kancharla

Oracle ASE InternBE IT, Vasavi CollegeHyderabad
9.55GPA / 10.0
OSOpen-source contributions
400+Problems solved on LeetCode and CodeChef

Experience

Jan 2026 - Present

Associate Software Engineer Intern

Oracle

  • Built a secure SMS retargeting service with multiprocessing workers, API integrations, rule-based targeting, and campaign observability.
  • Developed REST APIs with caching, retry logic, and structured logging to reduce redundant calls and speed incident debugging.
  • Built a Smart Offers AI Agent that converts customer behavior signals into personalized e-commerce recommendations.
  • Fixed Fortify findings with parameterized queries and input validation to reduce SQL injection and sanitization risk.

Jun 2024 - Jul 2024

AI & Cloud Technology Virtual Internship

IBM SkillsBuild + Edunet Foundation

  • Gained hands-on experience deploying machine learning models on IBM Cloud infrastructure.
  • Completed certified learning in artificial intelligence and cloud computing through IBM SkillsBuild.

Selected projects

Systems that combine product thinking with backend depth.

Jun 2025React.js, Flask, RAG, ML, River

IT Incident Summarizer

A reliability tool for SRE teams that compresses noisy incident logs into concise summaries and predicts root causes with an adaptive online model.

  • Built a hybrid RAG pipeline for high-volume, evolving incident data.
  • Integrated feedback learning that outperformed static XGBoost and Decision Tree baselines.
View source
Jun 2025React.js, Node.js, Express, gTTS, FFmpeg

DubFlow

A multilingual YouTube dubbing pipeline that turns transcripts into distributed audio processing jobs with resilient translation and transcript fallbacks.

  • Supported dubbing workflows across 32+ languages.
  • Added recovery paths for missing transcripts and translation failures.
View source
Oracle InternshipSignals, recommendations, e-commerce AI

Smart Offers AI Agent

A behavior-aware offers engine that converts customer signals into personalized commerce recommendations and campaign logic.

  • Mapped shopper behavior, product context, and targeting rules into explainable offer decisions.
  • Designed for practical campaign delivery, debugging, and measurable customer impact.
View source
May 2025Python, YOLOv8, CBAM, OpenCV

Intelligent Pavement Damage Detection

A real-time computer vision pipeline for detecting pavement defects across diverse road conditions.

  • Enhanced YOLOv8 with a lightweight CBAM attention mechanism, improving feature extraction and increasing mAP@50 by 3.8% over the baseline model.
  • Built a pavement defect detection and reporting flow for potholes, cracks, and surface damage.
View source

Technical range

Comfortable across APIs, data workflows, deployment, and UI.

Languages

C++JavaPythonJavaScriptCHTML/CSS

Backend & APIs

Spring BootNode.jsExpress.jsFlaskREST APIsReact.js

Data & Storage

SQLMySQLMongoDBDBMSETLData Validation

Infrastructure

KubernetesDockerCI/CDGitPrometheusLog Monitoring

Education

Academic foundation and proof of learning.

Education

Vasavi College of Engineering

BE in Information Technology, 2022 - 2026

GPA 9.55 / 10.0

Certifications

Credentials across AI, cloud, databases, Java, Python, and networking.

Achievements

Academic recognition, contests, and consistent problem solving.

MeritFirst year

Academic Excellence Merit Certificate

Recognized for academic performance in the first year of engineering.

Open certificate
MeritSecond year

Academic Excellence Merit Certificate

Recognized for academic performance in the second year of engineering.

Open certificate
CodingCompetition

Codezee - 3rd Place

Secured 3rd place in Codezee.

Open certificate
ContestCompetition

Krithomedh - 5th Place

Secured 5th place in Krithomedh.

DSAOngoing

400+ Problems Solved

CodeChef 2-Star with 400+ problems solved across LeetCode and CodeChef.

Interests

Outside code, I follow visual stories and imaginative worlds.

Stories

Reading comics

I enjoy visual storytelling, panel pacing, and character-driven worldbuilding.

Worlds

Watching anime

I like anime for its sharp visual style, long-form arcs, and imaginative systems.

Connect

Have a backend, AI, or product engineering problem worth building?

I am based in Hyderabad and focused on software engineering roles where backend systems, AI workflows, and polished user experiences intersect.