Badri Narayana Kancharla
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.
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.
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.
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.
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.
Technical range
Comfortable across APIs, data workflows, deployment, and UI.
Languages
Backend & APIs
Data & Storage
Infrastructure
Education
Academic foundation and proof of learning.
Education
Vasavi College of Engineering
BE in Information Technology, 2022 - 2026
GPA 9.55 / 10.0Certifications
Credentials across AI, cloud, databases, Java, Python, and networking.
OCI AI Foundations Associate
Oracle Cloud Infrastructure
View certificateAchievements
Academic recognition, contests, and consistent problem solving.
Academic Excellence Merit Certificate
Recognized for academic performance in the first year of engineering.
Open certificateAcademic Excellence Merit Certificate
Recognized for academic performance in the second year of engineering.
Open certificateCodezee - 3rd Place
Secured 3rd place in Codezee.
Open certificateKrithomedh - 5th Place
Secured 5th place in Krithomedh.
400+ Problems Solved
CodeChef 2-Star with 400+ problems solved across LeetCode and CodeChef.
Interests
Outside code, I follow visual stories and imaginative worlds.
Reading comics
I enjoy visual storytelling, panel pacing, and character-driven worldbuilding.
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.