Freelance ML Engineers in HyderabadFreelance ML Engineers in Hyderabad
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Lalan Kumar's avatar
Lalan Kumar
Hyderabad, India
AI Engineer with expertise in building full-stack LLM apps.
AI Engineer with expertise in building full-stack LLM apps.
Cover image for ChatTensorFlow
ChatTensorFlow
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Cover image for Hyperspectral Image Classification with CNN and AE
Hyperspectral Image Classification with CNN and AE
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Cover image for GitSurfer: Intelligent Codebase Analysis Tool
GitSurfer: Intelligent Codebase Analysis Tool
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ML Engineer(2)
Gitesh Deshmukh's avatar
Gitesh Deshmukh
Hyderabad, India
Built AI Agents, RAG & LLM Applications · MSc QMU of London
Built AI Agents, RAG & LLM Applications · MSc QMU of London
Cover image for CIFAR-10 Image Classification Model Development
CIFAR-10 Image Classification Model Development
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Cover image for Music Genre Classification Using Machine Learning Models
Music Genre Classification Using Machine Learning Models
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Cover image for Big-Data-Ethereum-Analysis
Big-Data-Ethereum-Analysis
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Cover image for GitHub - gitesh21/NLP-sentiment-analysis
GitHub - gitesh21/NLP-sentiment-analysis
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ML Engineer(2)
Naga Sai's avatar
Naga Sai
Hyderabad, India
GenAI Engineer | AI Agents, RAG & Trading Systems
GenAI Engineer | AI Agents, RAG & Trading Systems
Cover image for 🎙️ Live Captions + Translation:
🎙️ Live Captions + Translation: real-time speech-to-text with instant translation. I built a Streamlit web app that listens to your microphone, shows live captions as you speak, and translates them into another language in real time. How it works: 1️⃣ Mic stream: streamlit-webrtc captures live audio frames in the browser. 2️⃣ Speech-to-text: Kyutai’s 2.6B-parameter STT model (Hugging Face Transformers) turns the audio into English text. 3️⃣ New-word detection: only newly spoken words are sent for translation, so the app doesn’t re-translate the whole caption every time. 4️⃣ Translation: Meta’s NLLB-200 (600M) model translates into any of 200 languages. Hindi is the default. Engineering highlights: • Models load once and stay cached (st.cache_resource), so the app responds quickly. • Runs on GPU in float16 when available and falls back to CPU. • Switching the target language takes one setting change. Use cases: meetings, lectures, accessibility for hearing-impaired users, and multilingual conversations. Tech: Python · PyTorch · Hugging Face Transformers · Streamlit · WebRTC 🔗 github.com/bns218/live_caption_app
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Cover image for 🎮 Agentic Game‑Builder AI: describe
🎮 Agentic Game‑Builder AI: describe a game in plain English, get a fully playable browser game. I built a multi‑agent pipeline on Google’s Agent Development Kit (ADK) and Gemini. It turns an idea like “a retro space shooter with power‑ups and a boss fight” into a working game in one self‑contained HTML file. How it works: 1️⃣ Clarify: a LoopAgent asks focused questions until the requirements are clear. 2️⃣ Plan: a Planning agent designs the entities, mechanics, controls and win/lose rules as a validated JSON plan. 3️⃣ Build: Generator + Writer agents produce the code. Forced tool calls and a fallback extractor make sure a playable file always comes out. 4️⃣ Play: a live dashboard (FastAPI + WebSockets) streams the code as it’s written and runs the game in a sandboxed preview. Highlights: Canvas‑drawn graphics and Web Audio sound effects (no external assets), keyboard + mobile touch controls, and Docker support. Tech: Python · Google ADK · Gemini · FastAPI · WebSockets · HTML5 Canvas · Docker 🔗 github.com/bns218/Agentic-Game-Builder-AI-
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Cover image for 🤖 BTST Trading Research Agents:
🤖 BTST Trading Research Agents: a multi-agent AI system for overnight stock research. I designed four specialised AI subagents and packaged them as a Claude Code / Cowork plugin. They automate the research for BTST (buy today, sell tomorrow) trades in NSE F&O stocks. The agents: 🌍 market-context: decides if it’s safe to hold new positions overnight (index moves, VIX, FII/DII flows, global cues, upcoming events). 📰 catalyst-analyst: finds out why each stock moved, scores its news catalyst from -2 to +2, and vetoes stocks with real event risk. ☀️ morning-briefer: an 8:30 AM pre-market brief with a buy/sell watchlist and a table showing which data was verified. 🎯 exit-manager: reads live holdings and prices through a read-only Zerodha Kite MCP connection and recommends sell or hold for each position. Design highlights: • Each agent gets only the tools it needs, and none of them can place orders. • Agents return structured JSON so the next step in the workflow can use their output directly. • Scheduled tasks run the full trading day automatically (8:30 AM, 3:05 PM, 4:15 PM). • Built-in honesty: if a fact can’t be verified, the agent leaves it out or marks it “NOT verified” instead of making it up. Tech: Claude Code subagents · MCP · Prompt engineering · Plugin packaging 🔗 github.com/bns218/BTST
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Cover image for 🍛 Food Ordering Chatbot: order
🍛 Food Ordering Chatbot: order food and track deliveries just by chatting. I built a restaurant website with an AI chatbot (Dialogflow ES) and a Python FastAPI backend. Customers can place and track orders in plain English. What it does: • New Order: “2 Rava Dosa and one samosa” → the bot adds the items. You can add or remove items in the same chat (“remove the samosa”). • Completes the order, saves it to MySQL, and returns an order ID and the total bill. • Track Order: share an order ID and get its live status (in transit or delivered). How it works: Dialogflow detects the intent and extracts the food items and quantities. A FastAPI webhook sends each intent to its own handler and keeps a separate in-progress order for each chat session. MySQL stores the orders and their status. Tech: Python · FastAPI · Dialogflow ES · MySQL · HTML/CSS 🔗 github.com/bns218/Food-Chatbot
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ML Engineer(1)
karthikeya Yelamanchili's avatar
karthikeya Yelamanchili
Hyderabad, India
Builds AI And help business to grow 10x with quality
New to Contra
Builds AI And help business to grow 10x with quality
Cover image for Machine Learning Stock Price Prediction for Google
Machine Learning Stock Price Prediction for Google
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Cover image for Development of Appointment Scheduler Web App
Development of Appointment Scheduler Web App
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Cover image for OCR-Based Product Information Scanner
OCR-Based Product Information Scanner
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Cover image for Facial Emotion Detection with Deep Learning
Facial Emotion Detection with Deep Learning
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ML Engineer(1)
Ajay K's avatar
Ajay K
Hyderabad, India
LLM & Gen AI Model Developer | ML Projects Expert
LLM & Gen AI Model Developer | ML Projects Expert
Cover image for Web-Page-ChatBot-using-Llama-index
Web-Page-ChatBot-using-Llama-index
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Cover image for Gemma-Model-Finetuning-Using-Lora
Gemma-Model-Finetuning-Using-Lora
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Cover image for AjayK47/Gemini-File
AjayK47/Gemini-File
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ML Engineer(2)
Bhavana Gutta's avatar
Bhavana Gutta
Hyderabad, India
AI Developer building modern web apps & ML solutions
New to Contra
AI Developer building modern web apps & ML solutions
Cover image for Developed an AI-driven Alzheimer’s disease
Developed an AI-driven Alzheimer’s disease prediction platform using deep learning and MRI image analysis. The system provides prediction results, confidence scores, and analytics dashboards for early-stage disease detection and healthcare insights.
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Cover image for Developed an AI-powered Alzheimer’s disease
Developed an AI-powered Alzheimer’s disease detection platform using deep learning and MRI image classification techniques. The application analyzes brain MRI scans and predicts Alzheimer’s severity levels with high accuracy using CNN-based architectures and real-time prediction workflows. Built a modern interactive dashboard displaying confidence scores, probability distribution, and AI-generated diagnostic insights through a responsive web interface. Features include MRI preprocessing, CNN model integration, real-time prediction analytics, and healthcare-focused AI visualization. Technologies used: Python, TensorFlow, PyTorch, React, Next.js, and Computer Vision.
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Cover image for Built an AI-powered recruitment analytics
Built an AI-powered recruitment analytics dashboard that streamlines hiring workflows with candidate tracking, AI scoring, hiring analytics, and modern dashboard visualizations. Designed for scalability, usability, and real-time insights.
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Cover image for Designed and developed a modern
Designed and developed a modern AI developer portfolio website with a clean UI/UX, responsive layout, interactive sections, and project showcases. Focused on performance, branding, and visually engaging user experiences using modern frontend technologies.
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ML Engineer(2)