Hi, I'm Manideep.
I build intelligent systems that ship.
AI/ML Engineer with hands-on experience building production systems across Generative AI, RAG pipelines, multi-agent LLM workflows, computer vision and speech models. I ship end-to-end — from data pipelines and model fine-tuning to REST APIs and full-stack integration — with a bias for real-world problems and current advances in NLP and Generative AI.
6+
AI projects shipped
10+
ML & LLM tools
2
Production roles
Manideep
AI / ML Engineer
Featured work
Projects that ship intelligence.
Full-stack AI web app @ Delta Cubes
↗Recruitment Management System
An AI-powered recruitment platform with resume parsing and job–candidate matching. React.js frontend, Node.js + Express REST APIs, PostgreSQL, and OpenAI API for intelligent candidate understanding and recommendation.
LLM agents · CrewAI · OpenAI
↗Multi-Agent Deep Research System
An AI multi-agent system for automated web research, data retrieval and report generation. Built agent-collaboration workflows using LLM APIs and a tool-calling architecture; deployed on Windows and Linux.
Deep learning · CNN + LSTM
↗Speech Emotion Recognition
A hybrid CNN + LSTM model for real-time emotion detection from voice. Extracted MFCC audio features from voice datasets and tuned the model for strong classification performance across emotion categories.
Multi-agent video insights
↗YouTube Trend Analysis
A tool that scrapes YouTube channels and uses multi-agent AI to identify key topics and trends. Shipped as a Streamlit web app for interactive trend visualisation.
Toolkit
Craft & stack.
Languages
- Python
- JavaScript
- SQL
ML & AI
- Machine Learning
- Deep Learning
- Generative AI
- RAG
- Multi-Agent Systems
- Prompt Engineering
Libraries
- PyTorch
- TensorFlow
- Scikit-learn
- OpenCV
- NumPy
- Pandas
- Matplotlib
AI Tooling
- OpenAI API
- LangChain
- CrewAI
- ChromaDB
- GPT-4
NLP & CV
- Natural Language Processing
- Computer Vision
- Speech Emotion Recognition (CNN+LSTM)
Data & Backend
- PostgreSQL
- REST APIs
- Node.js + Express
- React.js
- Streamlit
DevOps & Cloud
- Git
- GitHub
- CI/CD
- Docker
- AWS (basic)
Foundations
- Data Structures & Algorithms
- Statistics
- Probability
- Linear Algebra
Experience
A quick timeline.
AI / ML Engineer
2024 — Present · Hyderabad
Delta Cubes Pvt Ltd
- Developed an AI-driven Recruitment Management System (RMS) automating candidate sourcing, resume parsing and job–candidate matching with OpenAI APIs and Python.
- Designed LLM-based resume understanding and intelligent candidate recommendation pipelines.
- Built RESTful backend APIs integrating AI services into end-to-end hiring workflows (Node.js + Express, PostgreSQL).
- Created multi-agent AI research tools using CrewAI and LangChain for automated data retrieval and summarisation.
- Owned Git, CI/CD and cloud deployment for production-ready delivery.
AI Intern — Facial Recommendation System
2023 · Virtual
Infosys
- Built a computer-vision facial recognition and recommendation system with Python and OpenCV.
- Developed preprocessing and deep-learning feature-extraction pipelines for face embeddings.
- Exposed ML models via REST APIs and integrated them with a web UI for demonstration.
Credentials
Education & certifications.
Graduated Apr 2025
B.Tech — Computer Science & Engineering
Bharath Institute of Higher Education and Research, Chennai
Intellipaat
AI & Machine Learning Program
Supervised/unsupervised learning, Deep Learning, Computer Vision, NLP and ML deployment with Python, TensorFlow & PyTorch.
Walmart USA · Forage
Advanced Software Engineering — Virtual Experience
Systems design and software engineering job simulation.
Accenture NA · Forage
Coding & Development — Advanced Engineering Simulation
Applied engineering practices across a full delivery lifecycle.
AWS APAC · Forage
Solutions Architecture — Virtual Experience
Cloud architecture patterns and AWS service selection.
Let's build
Have an AI problem worth solving?
From research prototypes to production ML systems — let's ship something intelligent together.
Get in touch →