Lekkala Ganesh
@lekkalaganesh
I build AI-powered full-stack web applications with TypeScript, Python, RAG, and reliable model integrations.
What I'm looking for
I've shipped end-to-end AI and web applications as a freelance Full-Stack & AI Engineer, building React and Next.js clients, FastAPI and Express services, and secure PostgreSQL data models on Supabase.
I engineer practical AI features including multi-provider LLM fallback from GPT-4o to Gemini and OpenRouter, real-time SSE voice streaming, embedding-based retrieval, ONNX model serving, and rubric-driven LLM evaluation. My public projects include an ATS Resume Optimizer with TF-IDF semantic matching and 269 pytest tests, Healthy Chef invoicing with server-side GST calculations, and Lite-Vision real-time face analysis serving four ONNX models.
Previously, I delivered six MERN projects at Slash Mark IT Solutions and built regression and classification models with scikit-learn and Pandas at Bharat Intern. I care about reliable delivery through automated testing, CI, secure schema design, responsive interfaces, and WCAG 2.1 AA accessibility.
Experience
Work history, roles, and key accomplishments
AI Application Engineer
Lekkala Ganesh
Jan 2025 - Present (1 year 7 months)
Freelance full-stack and AI engineer delivering end-to-end web applications with TypeScript and Python, including RAG systems and multi-provider LLM orchestration.
Full Stack Web Development Intern
Slash Mark IT Solutions
Dec 2024 - Apr 2025 (4 months)
Delivered 6 full-stack projects on the MERN stack, including a Weather Forecast app, URL Shortener REST API, and a Food Delivery app with authentication, geolocation, and payment flow.
Machine Learning Intern
Bharat Intern
Oct 2023 - Nov 2023 (1 month)
Built regression and classification models in Python with scikit-learn and Pandas, performing data cleaning, EDA, and feature engineering, and comparing estimators via cross-validation and hyperparameter tuning.
Education
Degrees, certifications, and relevant coursework
Parul University
Bachelor of Technology, Computer Science & Engineering
2022 - 2025
Grade: 7.53/10
Pursued a Bachelor of Technology in Computer Science & Engineering, achieving a GPA of 7.53/10.
Tech stack
Software and tools used professionally
GitHub
GitHub Actions
NumPy
Pandas
PostgreSQL
MongoDB
SQLite
Node.js
Next.js
Tailwind CSS
OpenCV
JavaScript
HTML5
PyTorch
scikit-learn
Streamlit
FastAPI
Linux
Gemini
Milvus
Vercel
pytest
Toolkit
CUDA
SQL
Hugging Face
Supabase
Ollama
Playwright
Pydantic
Pinecone
Vitest
Zod
ONNX Runtime
Ruff
OpenRouter
Stack AI
Redux Toolkit
Diffusers
Sentence Transformers
Availability
Location
Authorized to work in
Job categories
Skills
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