Kasaraneni Karthikeya

01 — About me

Turning code into impact

I'm Kasaraneni Karthikeya, a B.Tech Computer Science student at Lovely Professional University with a deep passion for building intelligent, scalable systems.

My expertise spans machine learning pipelines, real-time backend architectures, and full-stack development. I love turning complex, ambiguous problems into clean, efficient, production-ready code.

Beyond academics, I actively contribute to open-source, solve algorithmic challenges on LeetCode and GFG, and explore the frontier of AI — from NLP to predictive modelling.

I thrive in collaborative environments, lead with empathy, and deliver with precision. Looking for opportunities to build things that matter.

DSA Problems

Live Projects

% Msg Delivery

% ML Accuracy

👤

Full Name

Kasaraneni Karthikeya

📍

Location

Phagwara, Punjab, India

🎓

Degree

B.Tech CSE — LPU · CGPA 7.6

💼

Role Target

AI/ML Engineer · Backend Dev · SDE

📧

kasaranenikarthikeya4@gmail.com

📞

Phone

+91-7816036013

🌐

Languages

Telugu (Native) · Hindi · English

🎯

Interests

ML Research · Competitive Coding · Open Source

02 — Tech Arsenal

Skills & Technologies

A toolkit built for building — from model training to deployment at scale.

Languages

☕ Java 🐍 Python ⚙️ C ⚡ C++ 🗃️ SQL

Data Science & ML

📊 Pandas🔢 NumPy🤖 scikit-learn 📈 Matplotlib🌊 Seaborn📓 Jupyter 🤖 NLP / NLTK🎙️ Speech AI

Backend & APIs

⚡ FastAPI🌶️ Flask🔌 WebSockets 🔐 JWT Auth🔗 REST APIs🐋 Docker (basics)

Databases

🐬 MySQL🐘 PostgreSQL 🗃️ DB Design🔍 Query Optimisation

Frontend

⚛️ React🎨 Tailwind CSS 📱 Responsive UI📜 HTML / CSS

Tools & DevOps

🔀 Git / GitHub📓 Jupyter 🖥️ VS Code🐧 Linux (Ubuntu) 📦 npm / pip🔧 Postman

Soft Skills

👑 Leadership🤝 Team Collaboration 🔍 Analytical Thinking🗣️ Communication 📋 Project Management⏰ Time Management 🎯 Problem Solving🔄 Adaptability

03 — Work Experience

Where I've Made an Impact

C++ & DSA Trainee

🧑‍💻 CSE Pathashala — Summer Training

Jun 2025 · Intensive

Mastered core problem-solving foundations by constructing algorithms using C++ and modular logic flows, handling real-time competitive coding challenges.
Advanced structural understanding by solving problems involving arrays, pointers, linked lists, trees, graphs, and dynamic programming.
Boosted computational efficiency by refining solutions through complexity evaluation (Big-O) and optimised code patterns.
Achieved consistent improvement in implementation accuracy through structured, discipline-driven daily practice sessions.

C++DSAAlgorithms Competitive ProgrammingOOP

04 — Featured Work

Projects That Ship & Scale

Each project is a full story — problem, solution, and measurable results.

⚡ Real-Time

01 · Full-Stack · Real-Time System

ChitChat — Real-Time Communication System

A production-grade messaging platform with WebSocket-powered sub-100ms delivery, JWT authentication, and a React/Tailwind frontend. Built to handle concurrent users at scale.

Improved PostgreSQL retrieval latency by 28% via structured query optimisation

Achieved 99.2% message delivery accuracy with optimised sync channels

WebSocket architecture sustaining stable delivery under heavy concurrent load

ReactFastAPIWebSockets PostgreSQLTailwind CSSPythonJWT

GitHub

🤖 AI / NLP

02 · AI · NLP · Speech

AI-Powered Voice Assistant

An intelligent voice-interaction pipeline integrating speech recognition, NLP-based intent detection, and text-to-speech generation for natural, context-aware conversations.

96% query interpretation precision using NLTK intent mapping

Reduced intent misclassification by 31% via context-aware NLP

Enhanced conversational smoothness by 42% through embedded NLP routines

PythonSpeechRecognition NLTKPyAudiogTTS

GitHub

Credit Risk Management Project Screenshot

🤖 ML / FinTech

03 · Machine Learning · FinTech

Credit Risk Classifier

A complete ML prediction workflow for credit risk assessment featuring engineered features, normalization, precision–recall validation, and cross-fold evaluation for robust inference.

91% classification accuracy after hyperparameter tuning

Score stability improved by 24% via feature engineering & normalization

Validated with precision-recall metrics and cross-fold evaluation

scikit-learnPandas NumPyMatplotlibPython

GitHub

Fake News Detection System project preview

🔎 NLP

04 · NLP · Text Classification

Fake News Detection System

A real-time NLP classifier that identifies misleading news articles using TF-IDF vectorization, lemmatization, and Logistic Regression. Deployed as an interactive Streamlit web app.

85% detection accuracy after rigorous cross-validation

Optimised NLP preprocessing pipeline for fast real-time inference

Full Streamlit deployment with interactive prediction UI

PythonNLP / TF-IDF scikit-learnPandasStreamlit

GitHub

06 — Milestones

Key Achievements

DSA Problems Solved

Consistently solving algorithmic challenges to sharpen problem-solving skills and coding fluency.

🟡 LeetCode

🟢 GeeksforGeeks

🔵 HackerRank

💻

150+ DSA Problems Solved

Solved 150+ algorithmic problems spanning arrays, trees, graphs, DP, backtracking, and greedy algorithms across multiple competitive platforms.

⚡ Multi-Platform · Consistent

🎓

99% in Class 10th

Achieved an outstanding 99.0% in SSC Board Examinations, demonstrating exceptional academic discipline and foundational excellence.

🌟 Academic Excellence

🚀

Production-Deployed Projects

Successfully designed, built, and deployed 3 full-stack and AI projects with measurable real-world performance metrics.

📦 3 Deployed · Verified Metrics

Turning code into impact

Skills & Technologies

Where I've Made an Impact

Projects That Ship & Scale

Always Learning, Always Growing

Key Achievements

Educational Foundation

Get In Touch