Ali isn't taking new orders for this project right now. Here are some similar projects to explore.
You will get AI Speech & Translation (Voice to Text, Voice to Voice, Text to Text)
Top Rated
Project details
you will get a production-ready, low-latency translation system—not a research demo—built end-to-end (ASR → NMT → TTS or direct speech to speech) and tailored to your use case.
Speed & quality: streaming-first design with rigorous evals (WER/BLEU) and human-in-the-loop QA.
Privacy & cost control: API-based or fully self-hosted deployments, with clear GPU/infra guidance.
Customization: domain terminology, custom lexicons, accent/noise robustness.
Proof & reliability: shipped real-time speech to speech flows ( Dutch→English demo available), with Docker/K8s, monitoring, and smooth handoff to your team.
related keywords:
speech-to-speech translation, S2ST, streaming ASR, automatic speech recognition, low-latency translation, real-time inference, neural TTS, text-to-speech, text↔text translation, NMT, domain adaptation, custom lexicons, accent robustness, noise suppression, VAD, speaker diarization, language identification, Dutch→English demo, multilingual pipelines, on-device inference, privacy-first, self-hosted deployment, API-based deployment, Docker, Kubernetes, GPU optimization, quantization, Whisper/faster-whisper, CTranslate2, WebRTC streaming, gRPC, BLEU/WER evaluation
Speed & quality: streaming-first design with rigorous evals (WER/BLEU) and human-in-the-loop QA.
Privacy & cost control: API-based or fully self-hosted deployments, with clear GPU/infra guidance.
Customization: domain terminology, custom lexicons, accent/noise robustness.
Proof & reliability: shipped real-time speech to speech flows ( Dutch→English demo available), with Docker/K8s, monitoring, and smooth handoff to your team.
related keywords:
speech-to-speech translation, S2ST, streaming ASR, automatic speech recognition, low-latency translation, real-time inference, neural TTS, text-to-speech, text↔text translation, NMT, domain adaptation, custom lexicons, accent robustness, noise suppression, VAD, speaker diarization, language identification, Dutch→English demo, multilingual pipelines, on-device inference, privacy-first, self-hosted deployment, API-based deployment, Docker, Kubernetes, GPU optimization, quantization, Whisper/faster-whisper, CTranslate2, WebRTC streaming, gRPC, BLEU/WER evaluation
AI Algorithms
Transformer ModelAI Applications
AI Text-to-Speech, Automatic Speech Recognition, Image-to-Image Translation, Machine Translation, Natural Language Understanding, Neural Machine Translation, Neural Style Transfer, Speech SynthesisAI Development Language
PythonAI Tools
Hugging Face, NVIDIA AI Platform, PyTorch, TensorFlowAI Models
ChatGPT, GPT-4, GPT-J, GPT-Neo, LaMDA, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 1 day | 1 day | 2 days |
Number of Revisions | 3 | 4 | 7 |
AI Model Integration | |||
Batch Normalization | - | ||
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | |||
Model Testing & Optimization | - | - | - |
Model Tuning | - | ||
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$50
8 reviews
(8)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
AK
Alex K.
Jul 2, 2026
GPU LLM Infrastructure Engineer. CUDA, Jetson Orin
Awesome talent and skills, great reasoning.
MO
Michael O.
Dec 23, 2025
Create Realistic Baby Images from Ultrasounds
Ali was able to deliver what I was looking for. Unfortunately the scope of work changed but he is knowledgeable in his field.
SS
Shawn S.
Oct 13, 2025
AI and Machine Learning Specialist
A pleasure to work with.
AK
Alex K.
Oct 8, 2025
Ubuntu 25 install on dell r940
Excellent work and skills, pleasure to work with
JH
Jan H.
Nov 26, 2024
Fine-Tuning Llama Guard 3 for Multilingual Content
About Ali
Nvidia CUDA, GPU Optimization | Quant/AI Developer | kalshi polymarket
100%
Job Success
Tbilisi, Georgia - 10:21 am local time
so you can see my approach before deciding.
I build production-ready AI and trading automation systems for clients who need more than a simple script.
I am an AI/ML engineer with a Master’s degree in Artificial Intelligence and hands-on experience building trading automation, prediction-market tools, real-time data pipelines, dashboards, and AI-powered analysis systems.
I help traders, founders, and technical teams turn trading ideas into working software: from data collection and backtesting to live monitoring, bot execution, alerts, dashboards, and AI-based decision support.
My work combines AI/ML engineering, real-time market-data infrastructure, trading bots, dashboards, and deployment. I can help you move from an idea or manual workflow to a working system that collects data, analyzes signals, executes logic, sends alerts, stores results, and runs reliably on a VPS or cloud server.
Recent project areas include Kalshi and Polymarket prediction-market systems, Webull bot interfaces, real-time WebSocket feeds, Telegram/Discord trading controls, ClickHouse/Grafana dashboards, Docker deployments, and AI-powered market-analysis pipelines.
My recent work includes building and improving systems for Kalshi, Polymarket, Webull, and crypto/prediction-market workflows, including real-time WebSocket data processing, order book monitoring, Telegram/Discord bot interfaces, market-data dashboards, database pipelines, and Docker-based deployment on VPS/cloud infrastructure.
What I can help you build
Trading bots and automation tools
Kalshi, Polymarket, Webull, crypto, and broker/API integrations
Real-time market-data pipelines
WebSocket order book, ticker, trade, and price-feed processing
Backtesting and strategy research tools
Telegram/Discord trading bots and alert systems
AI-powered market analysis and signal-generation workflows
Dashboards for monitoring trades, PnL, token usage, prices, and system health
Dockerized deployment, logging, debugging, and VPS/cloud setup
Data storage using PostgreSQL, ClickHouse, and related tools
AI/ML experience
I also have strong experience in deep learning and applied AI, including:
PyTorch, TensorFlow, Keras, scikit-learn
LLM and AI-analysis pipelines
generative models: Audio/music/speech AI systems
Computer vision and object detection
Data analysis, feature engineering, and model evaluation
Python automation and production ML workflows
Trading-system experience
I have worked on systems involving:
Kalshi prediction-market bots
Polymarket data monitoring and dashboards
Webull bot interfaces
Real-time price feeds
I focus on practical, production-oriented development: clean Python code, clear communication, reliable deployment, and systems that can be monitored, debugged, and improved over time.
I can work on trading infrastructure involving real-time market data, WebSocket feeds, order books, execution workflows, monitoring dashboards, and low-latency automation. For more advanced trading architecture such as HFT-style systems, OMS/EMS design, and institutional execution workflows.
If you have a trading idea, AI workflow, automation task, or market-data problem, I can help you turn it into a working system.
# Technical stack
Python, PyTorch, TensorFlow, scikit-learn, Pandas, NumPy, PostgreSQL, ClickHouse, Grafana, Docker, Linux VPS, WebSockets, REST APIs, Telegram bots, Discord bots, OpenAI API, trading APIs, and AI/ML pipelines.
I work best with clients who want clear communication, fast iteration, and practical engineering. I can help with research prototypes, MVPs, production grade bots, dashboards, infrastructure, or debugging existing systems.
# Keywords :
Algorithmic Trading, Algo Trading, Quant Trading, Quant Developer, Trading Bot, Trading Automation, Trading Strategy, Strategy Development, Backtesting, Live Trading, Paper Trading, HFT, Low Latency, Market Making, Order Book, Level2 Data, Level3 Data, Tick Data, Market Data, Execution Engine, OMS, EMS, DMA, Smart Order Routing, Risk Management, Position Sizing, Portfolio Management, Portfolio Optimization, Signal Generation, Alpha Research, Statistical Arbitrage, Pairs Trading, Mean Reversion, Momentum Trading, Trend Following, Scalping, Arbitrage, Options Trading, Futures Trading, Forex Trading, Crypto Trading, Equities Trading, Prediction Markets, Kalshi, Polymarket, Webull, Interactive Brokers, IBKR, Alpaca, Binance, Coinbase, MetaTrader, MT4, MT5, MQL4, MQL5, TradingView, Pine Script, NinjaTrader, QuantConnect, Lean, NautilusTrader, cTrader, FIX API, Broker API, Exchange API, REST API, WebSocket, Trade Execution, Order Routing, Order Management, Fill Handling, Slippage, Latency Optimization, Market Microstructure, Volatility, Greeks, Delta Hedging, Options Spreads, Credit Spreads, Debit Spreads, Short Premium, Risk Controls, Stop Loss, Take Profit, Trailing Stop, PnL Tracking, Trade Alerts, Telegram Bot, luxalgo
Steps for completing your project
After purchasing the project, send requirements so Ali can start the project.
Delivery time starts when Ali receives requirements from you.
Ali works on your project following the steps below.
Revisions may occur after the delivery date.
Understand Client Goals
Discuss with the client to clearly understand their objectives and what they want to achieve with the project.
Develop a Project Plan
Based on the client’s goals and the information shared, create a detailed project plan outlining the scope, timeline, and deliverables. This plan should be reviewed and approved by the client before proceeding with the work.