Danapana Rahul Reddy
Professional Summary
Recent B.Tech (CSE) Graduate from NIT Allahabad with hands-on internship and project experience in full-stack web development and applied ML/AI. Built end-to-end web applications (React, Node/Express, FastAPI), engineered data pipelines and fine-tuned models (PyTorch, Hugging Face), and developed cost-aware cloud workflow scheduling algorithms. Seeking an entry-level SDE role where I can apply full-stack and ML capabilities to deliver scalable, production-ready solutions.
Technical Skills
Work Experience
- Designed and implemented responsive webpages for ITjobxs.com using HTML, CSS and Bootstrap to present company interview experiences with consistent UX across desktop and mobile devices.
- Engineered a PHP + MySQL backend to store and serve interview experience content and user profiles; implemented input validation and parameterized queries to maintain data integrity.
- Integrated Google reCAPTCHA and developed custom bot-detection heuristics to eliminate fake registrations and spam job posts, improving platform signal quality for recruiters and candidates.
- Built server-side form handling, content moderation flows, and secure submission endpoints to support user-contributed interview reports and company pages.
- Managed source code and collaboration workflows using Git and GitHub; organized feature branches, submitted PRs, and incorporated peer feedback during the internship.
- Documented backend endpoints, database schema and local setup instructions to accelerate testing and onboarding for QA and future contributors.
- Designed and implemented a multimodal Telugu data pipeline to collect, clean, and normalize 40+ hours of audio/video and 400+ image-text records to support open-source model training.
- Preprocessed and annotated speech and image datasets to enable robust ASR and image classification training workflows, ensuring consistent manifests and metadata for reproducibility.
- Fine-tuned four models (including a 0.6B text-generation model, ASR achieving 94.4 MASR, and an image classification model with 85.8M parameters) using PyTorch and Hugging Face Transformers.
- Packaged trained models and published them on Hugging Face with model cards and inference scripts to enable community evaluation and adoption.
- Built Streamlit-based demos to validate model outputs interactively and facilitate stakeholder review of quality for text generation, ASR and image classifiers.
- Authored reproducible training notebooks, dataset preparation scripts and contributed code via Git with clear README and usage examples to the Viswam.ai repository.
Projects
- Implemented RT-GA (real-time genetic algorithm) from scratch with crossover, mutation, elitism and multi-objective fitness to schedule multi-VM cloud workflows.
- Integrated DAG processing to represent workflow tasks and dependencies, enabling dynamic scheduling decisions under resource constraints.
- Deployed a Streamlit dashboard to visualize schedule outcomes and metrics; demonstrated a 33% lower makespan and 20% lower cost versus GA-DQN baselines.
- Built a 7-agent orchestration system with Google ADK to automate extraction and structuring of 8+ critical fields from unstructured emails, reducing manual processing effort by ~70%.
- Developed a FastAPI backend with 7+ endpoints to manage Gmail integration, calendar sync, WebSocket-based real-time updates and OAuth2.0 authentication flows.
- Designed end-to-end data flow from email ingestion to structured output, enabling downstream automation and integration with client systems.
- Developed a production-ready patient scheduling system covering appointment booking and Razorpay payment processing, maintaining consistency under 100+ concurrent test transactions.
- Integrated an AI-driven chatbot (OpenRouter DeepSeek-R1) for symptom assessment to assist triage and appointment recommendations.
- Implemented REST APIs with Express.js and stored patient and appointment data in MongoDB for reliable CRUD operations.
- Developed a personal portfolio website with interactive project demos to showcase technical work and increase professional visibility.
- Optimized content and demo presentation which contributed to a 150% increase in LinkedIn profile views and a 75% increase in connection requests.
- Live Site : https://rahul-portfolio-snowy.vercel.app/
Education
Achievements
- Finalist (Top 5%) - Technalytics 5.0 at IIT-BHU: Built ML models on real-world data and reached top-5% placement among participants.
- LeetCode Knight: Solved 850+ problems across LeetCode; peak rating ~1975.
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