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𝐁𝐚𝐜𝐤𝐞𝐝 𝐛𝐲 𝟖+ 𝐲𝐞𝐚𝐫𝐬 𝐢𝐧 𝐀𝐈 𝐚𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐈 𝐡𝐚𝐯𝐞 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 𝟐𝟓+ 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞-𝐬𝐜𝐚𝐥𝐞, 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐜𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐭𝐥𝐲 𝐚𝐜𝐡𝐢𝐞𝐯𝐢𝐧𝐠 𝐨𝐯𝐞𝐫 𝟗𝟎% 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲 𝐚𝐧𝐝 𝐫𝐞𝐝𝐮𝐜𝐢𝐧𝐠 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐜𝐨𝐬𝐭𝐬 𝐛𝐲 𝐮𝐩 𝐭𝐨 𝟒𝟎% 𝐚𝐜𝐫𝐨𝐬𝐬 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬. My expertise includes predictive modeling, deep learning, NLP, computer vision, and full-cycle MLOps. I also specialize in advanced AI domains such as Generative AI, LLMs, RAG architectures, AI agents, prompt engineering, vector databases, and cloud-native AI deployments, driving scalable, high-impact business results. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐂𝐥𝐢𝐞𝐧𝐭 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐭𝐨𝐫𝐢𝐞𝐬: - Built an LLM-powered healthcare assistant achieving 94% diagnostic accuracy while reducing physician workload by almost 50%. - Developed a RAG-based financial analysis system processing 100K+ documents daily with 96% precision. - Created an educational NLP platform, improving student engagement by 65% through personalized content delivery. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: 𝐋𝐋𝐌 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: Fine-tuning and optimizing GPT-4, LLaMA2, T5, and Mistral models with advanced prompt engineering for high-precision outputs. 𝐑𝐀𝐆 & 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: Designing Retrieval-Augmented Generation pipelines using LangChain, FAISS, and Pinecone for intelligent, context-aware document retrieval and analysis. 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐀𝐠𝐞𝐧𝐭𝐬: Developing goal-driven, memory-enabled agents with structured decision-making and adaptive reasoning capabilities. 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐆𝐫𝐚𝐝𝐞 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Implementing scalable solutions on AWS, FastAPI, and SageMaker with robust MLOps pipelines, ensuring high availability and 99.9% uptime. 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐰𝐢𝐭𝐡 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐀𝐈: 𝐈 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥𝐢𝐳𝐞 𝐀𝐈 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐢𝐧𝐭𝐨 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐜𝐫𝐞𝐚𝐭𝐞 𝐜𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐯𝐞 𝐚𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬: • 𝐓𝐫𝐚𝐯𝐞𝐥: Scalable booking systems with resilient pricing logic • 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞: AI-powered diagnostic assistance tools • 𝐅𝐢𝐧𝐚𝐧𝐜𝐞: Intelligent document processing and workflow automation • 𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧: Adaptive learning platforms driven by data • 𝐄-𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞: Conversion-focused recommendation engines • 𝐋𝐞𝐠𝐚𝐥: Automated contract analysis and insights

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 am an AI engineer with 4 years of experience building and deploying production ready AI systems across computer vision, NLP, and generative AI. I have worked on everything clients need right now: fine tuning and training deep learning models, building RAG and GraphRAG pipelines, LLM powered applications, OCR and document extraction, real time face recognition and multi object tracking, classification systems, embedding pipelines, and end to end data workflows from raw input to deployed output. I also have experience with model optimization including distillation, pruning, and quantization for edge and cloud deployment. On the engineering side I am comfortable with FastAPI, PostgreSQL, pgvector, Python async, and cloud and GPU based deployments. I have built and shipped full stack AI products, not just models. I also lead a team of AI engineers, so I understand both deep technical execution and what it takes to deliver consistently on real projects. If you have an AI problem that needs to actually work in production, I can build it.

AI/NLP Engineer with 12+ years of hands-on experience. 97% JSS, all projects rated 5.0, $90K+ earned. I build production AI systems and deploy them on scalable cloud infrastructure. I built and maintain a live NLP political bias detection platform (Processing 10K+ articles/day across 6 news categories) and a RAG document Q&A system using Claude API, pgvector, and FastAPI. Check my portfolio for live demos. Tech Stack Highlights: 🧠 AI/ML — LLMs (Claude API, OpenAI), RAG Pipelines, Spacy, Pytorch, Hugging Face, Sentence Transformers, pgvector 🐍 Backend — Django, FastAPI, DRF, Celery, Redis, PostgreSQL ☁️ Cloud — GCP (Compute Engine, Cloud Run, Cloud SQL), AWS, Docker 🚀 DevOps — Docker Compose, Nginx, Linux Administration, CI/CD 🔌 APIs — REST, Webhooks, Scraping, Data/ETL Pipelines 📱 Frontend — React, JavaScript, HTML/CSS, Django Templates Why work with me? ✅ 12+ years shipping production systems ✅ Real AI/NLP projects live in production, not just tutorials ✅ Honest estimates, clean code, long-term client relationships

I build AI systems that reason, not just match vectors, From RAG-based chatbots to AI agents powered by Neo4j and OWL-based ontologies. Worked with Mercedes Benz, Philips and QpiAI before to make smart RAG and semantic knowledge systems. Hi, I'm a Ontologist + Graph Engineer with 2+ years of production experience helping startups and enterprises turn complex knowledge into smart, conversational systems Here are some of the things I know how to do: ⦁ LLMs & NLP: Raptor, GraphRAG, prompt engineering, semantic search, vector databases. ⦁ MLOps & Deployment: MLflow, DVC, CI/CD (Jenkins, CircleCI), model ensembling. ⦁ Ontology Engineering (OWL, SWRL, SKOS, Turtle): Crafting rich knowledge graphs with logical reasoning in Protégé. ⦁ RDF & Data Transformation: Structuring raw data into interconnected RDF triples. (JSON-LD, XML) ⦁ Semantic-AI Fusion: Blending symbolic reasoning with neural retrieval strategies like Raptor, Fusion, Query Expansion, Contextual Retrieval, and Re-ranking ⦁ Structured LLM Responses: Ensuring reliable, schema-aligned outputs using Pydantic for validation and API interaction ⦁ Model Integration: Leveraging OpenAI, open Source Models -LLaMA, Gemini and vector databases for efficient hybrid search. If you're building AI that needs to truly understand — not just retrieve — I’d be excited to collaborate.

Hi, I am a full stack Artificial Intelligence (AI) engineer with 6+ years of experience of developing AI solutions for clients worldwide across various industry and research domains since pre LLM era(like startups and Fortune 50 companies ..). My expertise spans the development of robust cloud native end to end machine learning AI/ML solutions, including AI Agents and Automations, AI Chatbots, Conversational AI Agents and AI-driven Content Generation,NLP, Timseries forecasting/analysis, XAI . Availability: Open to full-time & long-term projects Expertise: ✅ AI Agents ✅Timeseries prediction, predictive modeling ✅ AI Chatbots ✅ AI Search ✅ AI Generated Content (Video/Image/ Audio) ✅ AI SaaS ✅Generative AI Modelling(GenAI, prompt engineered LLM RAG apps, AI agents, chatbots), ✅Natural Language Processing (NLP), ✅Speech Processing (ASR, TTS, STT) ✅Computer Vision, ✅OCR, ✅Classification, ✅Regression and XAI more..... Client testimonials: ⭐ "100000% recommended." ⭐ "Good freelancer that has serious background of ML and NLP. Recommended" ⭐ "Pooja is perfect! She communicates very well, responds to my questions in a timely manner, submit results within the deadline, and most importantly, she knows her ways on NLP. She's nice and kind and very easy to work with. You will not regret hiring her." ⭐"Working with Pooja was great! We hired her to test a data science tool that we're building and not only did she test the tool according to the instructions that we provided, but she also thought of other scenarios to test the tool in. I'd love to work with her again. 📚Proficient in a multitude of Python libraries such as Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, PyTorch, Keras, SpaCy, NLTK, Gensim, OpenAI(models like GPT( ChatGPT), DALL-E, Whisper), Hugging Face, Langchain, LLMs(GPT3.5/4, Claude, Perplexity, LLaMa, and more...) I possess a comprehensive skill set tailored to tackle complex AI challenges like prompt engineering, fine tuning, model quantization/distillation/pruning. Can deploy to cloud of your choice, AWS, GCP, Azure, Hetzner, Runpod to production /test I am experienced with customizing ML/DL models to obtain higher accuracy compared to existing models. "I've tuned several models and optimized their accuracy from 75% to about 98%." My project repertoire includes a wide array of AI Machine Learning and Deep Learning endeavors like AI agents workflows, AI RAG apps, predictive modelling end to end workflow and more... Some of the production AI systems I’ve delivered that drove real business impact: ✅ Saved $500K+ in potential expenses for a client by designing and deploying a custom AI solution tailored to their operations. ✅ Unblocked a Fortune 50 team stuck for 6+ months on a HIPAA-compliant AI project for their legacy system, delivering multiple solutions that prevented millions in potential losses. ✅ Developed Explainable AI (XAI) models, helping stakeholders gain actionable insights and build trust in AI decisions. ✅ Delivered RAG-based AI systems and AI Agents, including multi-agent orchestration capable of interactive, autonomous workflows. ✅Developed and productionized full stack AI systems with XAI for an EU Commission Consortium project. ✅ Developed HIPAA and GDPR compliant AI systems Why me? ✅ I strive to deliver top-tier AI solutions to ensure 100% client satisfaction. ✅ As an quick learner and proactive problem solver with an engineering background, I continually seek to expand my knowledge horizons and innovate in the dynamic field of AI and help my clients with the same. ✅ I believe in trustful collaboration and prompt delivery for my clients I am committed to solving your problem by providing an effective solution. I strongly value work ethics, dependability, honesty, and loyalty. My focus is always on delivering desirable results. I am flexible in my approach, and I quickly learn new skills necessary to complete the project successfully. Tools skilled in: - OpenAI GPT 3,3.5, 4, 4o, o1, OpenAI Realtime API, Claude and more... - HuggingFcae Transformers - Langchain - Mlflow - DialogFlow - Rasa - ManyChat - Prompt Engineering - Retrieval-Augmented Generation (RAG) - Langchain, Langsmith, Langgraph # CrewAI # Speech Recognition (ASR) # Natural Language Understanding (NLU) # Text-to-Speech (TTS) # Voicebot Development # AI Model Fine-Tuning # Multimodal AI # AI Workflow Automation # Microsoft semantic Kernel # AutoGPT # Smolagents # Pinecone # Milvus # Qdrant # Chroma # Weaviate #Chatbots #GPT4 #Anthropic #Claude #LLMs #Rasa #ManyChat # LangChain #OpenAI # RAG #VoiceBots #GenerativeAI #Vapi #Prompt Engineering #Flowise #Langsmith #CrewAI #PineCone # Deepseek #ElevenLabs #Sora #Veo #Kling #Higgsfield #Gemini #nano banana #Grok #Docker #CI/CD #Nodejs #Nestjs #fastapi #django #Quarkus #backend #Websockets #Rest API #AWS #GCP