AI Engineer | AI Agents, Automations & Production AI Systems Azure AI Developer I build production-ready AI systems, SaaS platforms, and automation solutions at a fraction of traditional development costs, without compromising on quality, security, or scalability. My approach combines AI-native development, modern engineering practices, and years of experience building real-world products across healthcare, legal, sports analytics, customer service, computer vision, and business automation. Whether you're launching a new product, building an AI-powered platform, automating operations, or transforming an existing prototype into a production-ready application, I help businesses move from idea to deployment faster and more cost-effectively. Here's what and how I can build for you: 𝗔𝗜 𝗡𝗮𝘁𝗶𝘃𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Full product development powered by Claude/Cursor and an AI-native workflow. Every build is faster, tighter, and more cost-efficient than traditional development, without any tradeoff on quality or scalability. 𝗦𝗽𝗲𝗰 𝗗𝗿𝗶𝘃𝗲𝗻 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Scope defined, documented, and agreed before development starts. No moving goal posts, no runaway timelines. You know exactly what you're getting and when. 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀, 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 Custom AI agents, multi-agent systems, RAG platforms, enterprise knowledge bases, AI copilots, voice assistants, and workflow automation solutions powered by modern LLMs. Enterprise search, document intelligence, compliance-focused retrieval systems, citation-based knowledge assistants, and vector database architectures. 𝗣𝗢𝗖 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: 𝘂𝗽 𝘁𝗼 𝟴𝟬% 𝗰𝗼𝘀𝘁 𝗿𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻 Need to validate an idea before committing to a full build? I scope and ship lean, functional proofs of concept that give you real signal without burning your runway. 𝗠𝗩𝗣 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: 𝘂𝗽 𝘁𝗼 𝟳𝟬% 𝗰𝗼𝘀𝘁 𝗿𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻 Go from idea to a fully functional, market-ready product. Built to scale from day one, not patched together and hoping for the best. 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗦𝗮𝗮𝗦 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 End-to-end web and mobile applications using React, Next.js, FastAPI, Python, PostgreSQL, cloud infrastructure, and modern deployment pipelines. 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Conversational AI systems, inbound and outbound calling agents, customer support automation, CRM integrations, and intelligent workflow orchestration. 𝗖𝗼𝗱𝗲 𝗖𝗹𝗲𝗮𝗻𝘂𝗽 𝗮𝗻𝗱 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗥𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀 Built your prototype in Lovable, Replit, AI Studio, or another AI tool and hit a wall? I take what you have, audit the codebase, clean it up, add proper authentication, security, and any missing features, and get it production-ready. 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗥𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀 & 𝗖𝗼𝗱𝗲 𝗔𝘂𝗱𝗶𝘁𝘀 Already have a development team or an existing product? I can step in and do architecture reviews, performance optimization, security assessments, scalability planning, technical due diligence, and modernization of existing applications. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 Custom ML model integration into your product stack, recommendation systems, classification, predictive features, computer vision pipelines. Built to production standard, not a notebook demo What I build: • AI Agents and Multi-Agent Systems • Voice AI Applications (Retell, Vapi, Bland, LiveKit) • Business Process Automation (n8n, Make, Custom Workflows) • RAG and Knowledge-Based AI Systems • AI-Powered SaaS Features and Products • Document Processing, OCR and Data Extraction • Custom LLM Applications and AI Integrations • Backend APIs and AI Infrastructure • Real-Time AI Systems and Workflow Orchestration Tech Stack: Python, FastAPI, Node.js, TypeScript, React, OpenAI, Claude, Gemini, LangGraph, LangChain, Pinecone, Weaviate, PostgreSQL, MongoDB, AWS, Azure, Docker, n8n, Make, Twilio, Retell, Vapi, LiveKit Recent projects include: • Multi-agent coaching platform with orchestration, memory, and RAG • Voice AI systems for sales, scheduling, and customer support • AI-powered document processing and workflow automation platforms • Knowledge management systems using retrieval and vector search • Automated operational workflows integrating CRMs, communication tools, and business systems I enjoy building products and systems far more than consulting, coaching, or teaching. Most clients hire me when they need someone who can take ownership of implementation and deliver a working solution. If you're looking for an engineer who can design, build, and deploy AI systems that people actually use, let's connect.

AI Audio Engineer specializing in ASR, TTS, voice cloning, and generative music systems. I build and deploy production-ready audio AI pipelines — from speech recognition and synthesis to real-time music generation and audio intelligence. Every system is designed for low latency, edge deployment, and real-world scalability. I’m Ustym, an AI & Machine Learning expert and tech lead specializing in real-time speech, music, and audio processing. I help startups and R&D teams design, prototype, and launch AI-powered audio solutions that are robust, scalable, and ready for production. Whether you’re building a TTS voice assistant, enhancing voice quality, or generating music with style conditioning — I’ve got you covered. 🧰 WHAT I OFFER 🔹 Design and train ASR, TTS, voice cloning, and audio generation models 🔹 Build production-ready pipelines for speech, music, and sound AI 🔹 Optimize models for edge devices (ONNX, TensorRT, TFLite) 🔹 Deliver full-cycle ML development: from research to deployment 🔨 WHAT I BUILD I work across the full pipeline: research, data processing, model training, evaluation, and deployment. My solutions are designed for real-time performance, low latency, and production scalability. 🗣️ AI Speech Systems - ASR (speech-to-text), TTS (text-to-speech), voice cloning, speech enhancement - Speaker identification, phoneme recognition, prosody analysis - Robust to accents, emotions, background noise, and multilingual input 🎵 AI Music & Audio Generation - Generative music with mood/style/genre control, BPM/key detection - Instrument transcription, music captioning, stem separation, audio-to-MIDI - Trusted by music tech platforms and sound design teams 🔉 Audio Intelligence & Sound Analysis - Audio event detection, acoustic scene classification, similarity search - Text-to-audio generation, real-time audio understanding - Applied in smart environments, accessibility, health tech 🛠️ TECH STACK 🧠 AI Frameworks: PyTorch, TensorFlow, Keras, JAX, Hugging Face Transformers, Diffusers 🎙️ Speech & Audio Processing: Whisper, NVIDIA NeMo, SpeechBrain, Kaldi, ESPnet, Coqui TTS Librosa, Torchaudio, FFmpeg, SoX, PyDub, PyAudio, PortAudio 🎧 Generative Audio Models: StyleTTS, Bark, ElevenLabs, Descript Overdub, Magenta, MusicLM, AudioLM, Riffusion, DDSP ⚙️ Model Deployment: ONNX, TensorRT, TorchScript, TFLite, Docker, FastAPI ☁️ Cloud & MLOps: AWS (SageMaker, Lambda, EC2), GCP, Azure, MLflow, DVC, GitHub Actions 👨‍💻 Programming & Data Tools: Python, C++, JavaScript, NumPy, Pandas, SciPy, SQL, Git 🎯 INDUSTRIES I SUPPORT ✔️ Media & Entertainment – multilingual dubbing, personalized streaming, voice synthesis ✔️ Music Tech – AI tools for composition, tagging, sound design ✔️ Gaming & XR – dynamic sound, NPC voices, real-time audio events ✔️ Healthcare – assistive tools, voice diagnostics, accessibility ✔️ EdTech – pronunciation feedback, speech tutoring, language training ✔️ Smart Devices & Security – voice authentication, sound-based alerts ✔️ Customer Experience – transcription, voice agents, sentiment detection ✔️ Video & Film – dubbing, adaptive soundtracks, intelligent editing 💡 WHY ME 🔹 Deep Audio AI Focus – I specialize 100% in speech, music, and sound AI 🔹 Research-Driven Development – I follow the latest ML innovations and apply them fast 🔹 Production-Oriented Mindset – Models are built for deployment, not just demos 🔹 Business Alignment – My work supports real product outcomes and ROI I lead a team of AI/ML audio engineers at It-Jim, where we’ve built systems for voice tech startups, creative tools, medtech products, and smart environments. We bring in strong expertise in ASR, TTS, audio DSP, and full-stack ML delivery. Let’s talk if you need a hands-on expert to build or improve your Audio AI system. Whether it’s voice, music, or sound recognition — I’ll help you go from idea to real-world solution. Let’s build something amazing with sound!

I build machine learning systems that run in production. Not demos. Not proofs of concept. Deployed, measurable AI. Seven years of ML engineering, eight AI products live, and a client base that spans healthcare, fintech, e commerce, and Web3. The work covers the full lifecycle from model design, training, fine tuning, deployment, and MLOps, with a consistent delivery record of 30 to 40% measurable improvement on core business metrics. Generative AI and Large Language Models LLM fine tuning and production deployment across GPT 4, Claude, Gemini, and LLaMA. Delivered eight GenAI applications to date, including RAG systems, multi step AI agents, and enterprise chatbots built on OpenAI API, Azure OpenAI, and LangChain. Prompt engineering is treated as an engineering discipline, structured, testable, and versioned. Fluent in Hugging Face, FAISS, Pinecone, and agentic AI frameworks. Machine Learning and Deep Learning Custom model architecture using TensorFlow 2.x, PyTorch, Keras, and scikit learn. Experience spans supervised learning, unsupervised learning, transformer based architectures, BERT fine tuning, and ensemble methods built for enterprise scale, not Kaggle benchmarks. Computer Vision Real time vision systems achieving 98% plus accuracy using YOLO, ResNet, and custom CNN architectures. Deployed applications include quality control automation, medical imaging analysis, and sports performance tracking with complex occlusion handling. NLP and Conversational AI Production NLP pipelines processing 10M plus documents daily using BERT, Hugging Face Transformers, spaCy, and NLTK. Covers sentiment analysis, document classification, named entity recognition, and the full backend stack for AI chatbot development. Predictive Analytics and Time Series Forecasting models with 75 to 90% accuracy using LSTM, GRU, Prophet, and XGBoost, applied to demand forecasting, fraud detection, credit risk scoring, and customer behavior prediction. Industry Coverage Healthcare AI with HIPAA compliant clinical decision support, diagnostic algorithms, and medical imaging. Financial services including fraud detection, AML and KYC automation, algorithmic trading, and risk modeling. E commerce covering recommendation engines, dynamic pricing, and personalized AI. Manufacturing including predictive maintenance and supply chain optimization. Web3 covering on chain analytics, DeFi modeling, and wallet behavior prediction. Selected Deployments Alfred AI with 25% reduction in e commerce returns through ML powered personalization NBA Predictor with 78% match outcome accuracy, live at hyperformancepicks Valfile with NLP based talent matching and resume analysis at scale Binance Chain Analytics with 3.4TB processed and 90% recall on investor scoring InfoFinlandBot, RecorDr, Lawyerup as production GPT based systems with real users Stack TensorFlow 2.x, PyTorch, Keras, scikit learn, XGBoost, Hugging Face, LangChain, Pinecone, FAISS, OpenCV, spaCy, NLTK deployed on AWS SageMaker, Azure ML, and Google Vertex AI via Docker and Kubernetes. Python, R, SQL, JavaScript, Scala. MLflow for experiment tracking and MLOps pipeline management.

With 7+ years of experience in AI/ML, I focus on building solutions that are not just technically sound but also practical and valuable in real-world scenarios. My work is driven by research, experimentation, and selecting the right technologies for each unique problem. 🔹 Where I Add Value I have strong hands-on experience in Computer Vision / Machine Vision, working on problems such as: * Object detection and recognition * Multi-camera tracking and digital twin systems * Face recognition and human pose estimation * Edge AI and real-time inference * Inspection systems and anomaly detection * OCR and text extraction * Data preparation including segmentation, augmentation, and synthesis 🔹 Machine Learning Expertise Depending on the problem, I apply a wide range of ML techniques: * Supervised Learning: Classification, Regression * Unsupervised Learning: Clustering, Dimensionality Reduction * Semi-supervised learning * Reinforcement learning 🔹 NLP & AI Systems Alongside vision, I’ve worked on intelligent systems involving: * GPT-based models (GPT-3, GPT-4) and LangChain workflows * Text summarization and content generation * Recommendation systems (feature-based, user-based, hybrid) * Sentence similarity and semantic analysis * Conversational AI and dialog systems * Speech processing (ASR, speech synthesis) * Machine translation 🔹 Deep Learning Applications I’ve applied deep learning across multiple real-world use cases: * Multi-camera tracking systems * Autonomous drones * Chatbots and service bots * Predictive analytics solutions I’ve also worked closely with startups and businesses to build MVPs and POCs, helping them validate ideas and move faster toward production. ✔️ Open to signing NDAs for confidential projects ✔️ Additional demos and project details available on request If you’re looking to build something in AI or want to explore a new idea, feel free to reach out happy to discuss and contribute. Best regards Disha

𝗻𝟴𝗻 𝗔𝘂𝘁𝗼𝗺𝗮𝗝𝗼𝗻 𝗘𝘅𝗽𝗲𝗿𝘁 | 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗔𝗜 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 | 𝗔𝗜 𝗩𝗼𝗶𝗰𝗲 𝗖𝗮𝗹𝗹𝗶𝗻𝗴 𝗔𝗴𝗲𝗻𝘁𝘀 | 𝗚𝗼𝗛𝗶𝗴𝗵𝗟𝗲𝘃𝗲𝗹 | 𝗢𝗽𝗲𝗻𝗖𝗹𝗮𝘄 I build 𝗻𝟴𝗻 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻𝘀, 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 and 𝗰𝘂𝘀𝘁𝗼𝗺 𝗔𝗜 𝗰𝗵𝗮𝘁𝗯𝗼𝘁𝘀 that handle 𝘺𝘰𝘶𝘳 𝘭𝘦𝘢𝘥𝘴, 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳𝘴, 𝘢𝘯𝘥 𝘰𝘱𝘦𝘳𝘢𝘵𝘪𝘰𝘯𝘴 ; so you don't have to. 𝗻𝟴𝗻 𝗪𝗢𝗥𝗞𝗙𝗟𝗢𝗪 𝗔𝗨𝗧𝗢𝗠𝗔𝗧𝗜𝗢𝗡 → Lead extraction, enrichment, qualification & outbound sequences → Inbound lead routing, scoring, tagging & CRM sync → Slack & Notion automations (two-way sync, notifications, tasks) → API integrations & webhook workflows → Data processing, scraping & reporting pipelines 𝗔𝗜 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 & 𝗩𝗼𝗶𝗰𝗲 𝗔𝗴𝗲𝗻𝘁𝘀 → Appointment booking 𝐜𝐡𝐚𝐭𝐛𝐨𝐭𝐬 → Customer support bots (24/7 with 𝐑𝐀𝐆 knowledge base) → Lead qualificaEon & rouEng bots →𝐀𝐈 𝐯𝐨𝐢𝐜𝐞 𝐜𝐚𝐥𝐥𝐢𝐧𝐠 𝐚𝐠𝐞𝐧𝐭𝐬 (𝐑𝐞𝐭𝐞𝐥𝐥 𝐀𝐈, 𝐕𝐀𝐏𝐈, Bland AI) 𝗖𝗥𝗠, 𝗪𝗲𝗯 𝗔𝗽𝗽𝘀 & 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 → GoHighLevel setup: funnels, pipelines, SMS & AI callers → Custom web apps (React, Supabase, Google Apps Script) → Power BI, MicrosoE Fabric & Looker dashboards 𝗢𝗽𝗲𝗻𝗰𝗹𝗮𝘄 𝗔𝗶 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 → AI agents for lead generation, qualification & outreach → Autonomous task execution (emails, browsing, data collection) → Smart follow-ups & conversation handling (multi-channel) → Document processing (summarization, extraction, insights) → End-to-end workflow automation with decision-making AI 𝗥𝗘𝗖𝗘𝗡𝗧 𝗣𝗥𝗢𝗝𝗘𝗖𝗧𝗦 ✅ AI voice assistant for a medical office (Azure OpenAI, German/Swiss-German) ✅ MulE-client AI markeEng SaaS for law firms: n8n + Supabase + React, AI call scoring + ad-plaDorm data brains ✅ PredicEve healthcare audit system above an EMR: OCR referral intake, eligibility checks, claims & auto-appeals (dermatology pracEce) ✅ AI virtual fitness trainer MVP: 3D avatar + computer-vision pose correcEon, built for a startup investor raise ✅ Lumber distributor: Google Sheets → web app for inventory, orders & customer reporEng ✅ eFoil distributor: full order-lifecycle automaJon for 65+ EU dealers (Google Apps Script) ✅ AI agent qualifying 200+ leads weekly + OpenClaw mulE-agent installs 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞 Workflow: 𝗻𝟴𝗻, 𝗠𝗮𝗸𝗲.𝗰𝗼𝗺, 𝗭𝗮𝗽𝗶𝗲𝗿 AI/LLM: 𝗢𝗽𝗲𝗻𝗔𝗜, 𝗖𝗹𝗮𝘂𝗱𝗲, 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻, LangGraph, Crew AI Voice AI:𝗥𝗲𝘁𝗲𝗹𝗹 𝗔𝗜, 𝗩𝗔𝗣𝗜,, Bland AI, ElevenLabs CRM: 𝗚𝗼𝗛𝗶𝗴𝗵𝗟𝗲𝘃𝗲𝗹, HubSpot Web & Data: React, Supabase, PostgreSQL, Airtable, NoEon Dashboards & BI: 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜, 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗘 𝗙𝗮𝗯𝗿𝗶𝗰, Tableau, Looker 𝗪𝗛𝗬 𝗠𝗘 ✅ 300+ projects delivered | $100K+ earned ✅ I own the full process → strategy → build → deploy ✅ From spreadsheets to AI: I speak data AND AI ✅ Quick replies, clear docs, no chasing ✅ EST working hours, fluent English, meeEngs & async both work 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲? 𝗦𝗲𝗻𝗱 𝗺𝗲 𝘆𝗼𝘂𝗿 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗮𝗻𝗱 𝗜 𝘄𝗶𝗹𝗹 𝗺𝗮𝗽 𝘁𝗵𝗲 𝗳𝗶𝘅.

I have extensive experience in Computer Vision, Deep Learning, AI/ML, and Data Science, focused on creating impactful solutions that address real-world challenges. I specialize in transforming complex concepts into practical systems that meet and exceed client expectations. Whether it's building efficient models for object detection, classification, segmentation, or delivering insightful data analysis, I am dedicated to creating solutions that add value and drive success. **𝗦𝗞𝗜𝗟𝗟𝗦:** - Data Wrangling, Feature Engineering, Predictive Modeling - Machine Learning & Deep Learning Models, Data Analysis - Algorithm Development & Optimization - Object Detection, Classification, Instance & Semantic Segmentation - Face Detection & Recognition, Object Tracking, Re-Identification - Pose Estimation, Action Recognition - Image & Video Annotation, High Precision Bounding Boxes & Segmentation Masks - Frame Differentiation, Motion Detection, Change Detection - Model Deployment & Training, Hyperparameter Tuning - Data Visualization & Reporting, Feature Importance Analysis - Real-Time Video Processing, Edge AI Deployment, Model Integration into Applications **𝗧𝗢𝗢𝗟𝗦 𝗜 𝗨𝗦𝗘:** - YOLO (YOLOv8, YOLOv9, YOLO-NAS, YOLOv10), ByteTrack, BoT-SORT - DeepFace, FaceNet512, Dlib, RetinaFace, MediaPipe - CVAT (Computer Vision Annotation Tool), Roboflow - FastAPI, Python (NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch), OpenCV - Jupyter, Google Colab, SQL for Data Analysis, VSCode - Matplotlib, Seaborn, Plotly for Data Visualization When you work with me, you're not just hiring a technical expert—you’re gaining a partner who is committed to your success. I take pride in delivering solutions that are technically sound, practical, and aligned with your business goals. Let’s work together to create something exceptional and ensure your project's success.

I build AI systems that actually run in production, not just demos. Most clients come to me after hitting the same issues: RAG not accurate, agents unreliable, or AI pipelines that don’t scale. That’s where I step in. I’m a Senior ML and LLM Engineer (10+ years), recently working at NexGen Cloud and Holi GmbH, where I built: ☑️Enterprise AI platforms serving 100+ clients with 99.9% uptime ☑️RAG systems (multimodal, hybrid search, real-time pipelines) ☑️AI agents connected to APIs, tools, and business workflows ☑️High-performance inference systems (sub-200ms latency, cost reduced ~40%) What I can help you with: ☑️RAG Systems (LLM + Data) PDFs, databases, internal tools → accurate retrieval (LangChain, LangGraph, pgvector, Pinecone) ☑️AI Agents & Automation Multi-step workflows, tool calling, OpenClaw-style systems ☑️LLM Systems (Production Ready) OpenAI, Claude, Gemini, structured outputs, evaluation, guardrails ☑️Backend + APIs FastAPI, Django, Node, async pipelines, Redis, scalable systems ☑️Search & Recommendations Hybrid search (BM25 + vector), ranking, personalization I’ve built systems handling 1000+ ML jobs/month and real traffic I focus on accuracy + reliability, not just “AI output” I design systems your team can actually maintain 𝐐𝐮𝐢𝐜𝐤 𝐰𝐢𝐧𝐬 𝐈’𝐯𝐞 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 Improved search latency and relevance by 40% Increased recommendation quality by 35% Reduced AI infrastructure cost by up to 70% If you’re building something serious with AI and want it done properly, 𝐥𝐞𝐭’𝐬 𝐭𝐚𝐥𝐤.

🚀Unlocking the Power of Data: Expert Data Scientist at the ready ⭐️Crafting Data Stories with Python and Precision 🕒 4+ Years of Specialized Experience ✅ Numerous Successful Projects across AI, ML, NLP, and Computer Vision ✅ Driving Innovation with Data-Driven Solutions With more than 4 years of experience in data science, I specialize in machine learning, AI, NLP, and computer vision. My expertise has been applied in a range of projects, from working with dynamic startups to collaborating with established industry leaders. I've led initiatives that improved business intelligence and introduced AI-driven innovations. My skills in Python, TensorFlow, PyTorch, and Keras enable me to develop advanced data models that guide strategic decision-making and foster innovation. My roles at Educative.io and Ekkel AI have established me as a notable contributor to data science education and the advancement of technology. My work has had a significant impact in both academic settings and practical industry applications. I am passionate about transforming complex data into powerful tools that enhance performance, unlock new opportunities, and deliver value to businesses. I approach every project with a focus on delivering strategic insights, working collaboratively to meet project objectives, and maintaining a commitment to meet deadlines with precision. My goal is to use data science to advance your projects, overcome challenges, and turn data into a valuable asset. Let's connect to transform your projects with data-driven insights and innovative solutions.

AI Engineer with over 6 years of hands-on experience in Natural Language Processing (NLP), Computer Vision, and Recommender Systems. With a proven track record on Kaggle, I'm ranked in the top 10% of competitors worldwide. 🌍 My expertise extends to designing, training, testing, and deploying end-to-end applications using Django, Nginx, and Gunicorn on platforms such as AWS, Heroku, and GCP. I have a solid background in working with REST APIs and containers, ensuring smooth integration and deployment of AI solutions. 🚀 My technical toolkit includes: 🔸 Deep Learning Models: Keras, TensorFlow, PyTorch 🔸 Batch & Stream Processing: Spark SQL 🔸 Backend Development: PostgreSQL 🔸 AWS Services: S3, Kinesis, Dynamo DB, Elasticsearch, Redis via Boto3 In the NLP domain, I have worked on developing chatbots, data extraction pipelines, text classification, and sequence labeling. I have also finetuned large language models like GPT-3 and LLAMA for specific use cases. In Computer Vision, I've worked on object detection, OCR models, player and ball tracking in sports analytics, video analytics and more. I have a track record of creating efficient models for fast processing and small memory usage. In Generative AI, I have developed high-quality image generation models using stable diffusion and text generation models using OpenAI GPT models. I've had the privilege to work with diverse remote teams from the USA, Russia, Germany, Japan, and the Philippines, honing my collaboration and communication skills. Let's leverage AI to transform your business processes, enhance customer experiences, and unlock new opportunities. Reach out to discuss how we can collaborate to achieve your goals. Looking forward to helping you bring your AI vision to life! 😊

I build production-ready AI systems (RAG pipelines, LLM applications, and multilingual NLP) that solve real problems, not just demos that break in production. I'm a PhD researcher in AI/ML with 6+ years building NLP, machine translation, and information retrieval systems, with published work in ACM, Elsevier, EACL, and FIRE. That research background means I can handle the hard problems most freelancers can't: cross-lingual retrieval, low-resource and Indic languages, speech-to-speech systems, and LLM pipelines that actually hold up. What I can build for you: ✔ RAG pipelines and LLM-powered applications (LangChain, HuggingFace, PyTorch) ✔ NLP systems: text classification, NER, sentiment analysis, transformers ✔ Multilingual & cross-lingual AI, with deep expertise in Indic languages ✔ Speech-to-text and speech-to-speech AI ✔ Search and information retrieval engines ✔ Custom ML models: supervised, unsupervised, and deep learning ✔ End-to-end AI pipelines, from prototype to deployment I communicate clearly, hit deadlines, and care about code you can actually maintain. If you have an AI/NLP problem you're not sure is even solvable, that's exactly the kind of project I like. Send me a message and let's scope it.