P. Phani Hrushik Reddy
Applied AI Engineer focused on building production-ready AI systems, not demos.
I work across the full stack of modern AI — from model fine-tuning and evaluation to backend APIs, cloud deployment, and agent orchestration.
Skills & Technologies
AI & Machine Learning
Backend, Systems & Cloud
Additional Tools & Frameworks
Experience
AI Engineer
Techolution
Full-time, In Office
Nov. 2024 – Present
Hyderabad, India
- ▪Designed and implemented backend infrastructure for scalable AI services used in client-facing applications
- ▪Fine-tuned, evaluated, and hosted multiple open-source LLMs including LLaMA 3, DeepSeek, and Qwen-VL
- ▪Built and deployed LLM-powered APIs using FastAPI with streaming responses
- ▪Integrated and experimented with open-source TTS models (Whisper, Kokoro) for speech-based AI features
- ▪Deployed AI systems on Google Cloud Platform, focusing on reliability, scalability, and cost efficiency
- ▪Rapidly prototyped applied ML solutions under real-world constraints
Python Developer Intern
Multeway
Internship, In Office
Apr. 2024 – Nov. 2024
Hyderabad, India
- ▪Developed AI-driven features including face verification, chatbots, and recommendation systems
- ▪Fine-tuned open-source LLMs (Mixtral, Phi-3, LLaMA 3) for domain-specific use cases
- ▪Built backend services using Django and integrated GPT-4o into production workflows
- ▪Improved developer productivity by building automation tools for bug detection and resolution
Machine Learning Engineer Intern
Eklavya.me
Internship, Remote
Jan. 2024 – Jun. 2024
Goa, India
- ▪Core contributor to Askek, an AI chatbot for answering student queries at scale
- ▪Built and maintained APIs using FastAPI and containerized services with Docker
- ▪Worked with AWS infrastructure for deploying and monitoring ML-backed services
- ▪Collaborated closely with product teams to align AI capabilities with user needs
Projects
Fueza
AI-powered search & answer engine (Perplexity alternative). Built an internet-aware AI system using RAG + live web data with retrieval pipelines combining scraping, embeddings, and LLM reasoning. Focused on response accuracy, citation grounding, and latency.
Velix
Automated generation of short video lectures for NCERT content. Designed pipelines to convert structured educational content into AI-generated video lessons with focus on automation, scalability, and content consistency.
Arxiv-Researcher
Chat with research papers for faster understanding. Built a system to ingest research papers and enable semantic querying with embedding-based retrieval for accurate, context-aware responses.
Academic Background
Osmania University
BE, Electronics and Communication Engineering
May 2025
Hyderabad, India
GPA: 8.4/10
Activities: Volunteer at National Service Scheme (NSS), Member of Cultural Club (MCC)
Certifications & Achievements
Certifications
- • Data Science Specialization, Internshala
- • Blockchain and its applications, IIT-K
- • SQL Advanced, HackerRank
Achievements
- • First Prize, Major League Hacking Hackathon, 2023
- • Second Prize, Engenius ideathon, 2024
Let's Work Together
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.