An AI/ML engineer with more than three years of experience and expertise in the field of Machine Learning, Deep Learning, NLP and Computer Vision. I am also a Kaggle Competitions Master and Notebook Expert. I have won 1 gold, 6 silver and 5 bronze medals in various competitions. I bring the best AI solutions out there to every problem of my client. Area of expertise: - Generative AI and RAG-based applications - Computer Vision - Image Classification - Object Detection - Facial Recognition - Action Detection - Emotion Detection - Image Segmentation - 3D Image Classification - Natural Language Processing - Sentiment analysis - Entity extraction from a text - Text classification - Text analysis, tokenization, lemmatization, POS tagging, dependency trees - Unsupervised clustering of text - Outliers detection - Topic Modeling - Text similarity - Time series analysis - Text Visualization Skills: - Machine Learning/Deep Learning libraries: scikit-learn, TensorFlow, NumPy, Pandas, Matplotlib, Seaborn, jupyter Notebook, Anaconda, Keras, PyTorch - Machine Learning algorithms: Linear Regression, Logistic Regression, Support Vector Machines (SVM), Naive Bayes, KNN, Decision Tree, Random Forest, Gradient Boosting, Principal Component Analysis (PCA), KMeans, Agglomerative Clustering - Deep Learning Algorithms: Simple NN, CNN, RNN, LSTM, Transformers, BERT, GPT-3, GPT-2 - NLP: NLTK, spaCy, Gensim, word2vec, GLoVe, doc2vec, HuggingFace Transformers - Programming languages: JavaScript, Python - Collaboration and work management tools: Jira, Confluence, Trello, Basecamp - Cloud Computing and Containers: Docker, Google Cloud, AWS - Database Technologies (relational and non-relational): Microsoft SQL Server, Oracle, PostgreSQL, MongoDB (NoSQL) Moreover, I have built many end-to-end applications in ML in my past projects. Some of these can be seen in my portfolio. I am hard-working and passionate about solving the client's hunger for AI solutions. I am a quick learner with a problem-solving attitude, always interested in making long-term professional relationships with my clients to ensure the successful completion of the task within a deadline. I am ready to work on a wide range of projects including Predictive Analytics and reinforcement Learning.

Hi, I am a passionate data science enthusiasts and a life long learner. I love giving life to the idea from whiteboard design to end product. My skills include:- - Data Analysis ( numpy, pandas, matplotlib, seaborn) - Deep Learning libraries( PyTorch & Tensorflow) - Computer Vision - Natural Language Processing - Flask and Django - AWS & git With these skill I have done projects ranging from simple digit recognition to a full fledged deployment of image captioning model in Flask. I also enjoy making best use of some State-of-the-art models for personal purpose. For example, recently i build 2 such projects. One was to find a image in my PC by describing it in natural language. The other was a simple assistant that replies to your question about me. I also love writing blogs about the new things that i learned or applied.

Data Scientist with 10+ years of experience in business administration. Got IBM Data Science Professional Certificate. Competition Expert on Kaggle. Skilled in machine learning, maths, statisctics and problem solving.

I build production-grade AI agents, automations, and LLM applications in Python — autonomous multi-agent systems, RAG pipelines, and end-to-end workflow automation that actually ships and saves real hours What I build - AI Agents & Automation** — Multi-agent systems with LangGraph & CrewAI; tool-using agents for sales, support, and ops; n8n / Make / Zapier workflows that replace manual work. LLM Apps & RAG** — Retrieval-augmented generation over your data, custom chatbots with memory & tool-calling, document intelligence; OpenAI & Anthropic Claude integrations. AI Integration & Backends** — Embedding AI into your product via clean FastAPI services, API integrations, and webhooks — production-grade, not notebooks. AI Content Automation** — Automated content & media pipelines: script → voice/TTS → video assembly, repurposing, and multilingual output. skills - Python, LangChain, LangGraph, CrewAI, n8n, Make, RAG, OpenAI API, Anthropic Claude, FastAPI, Pinecone/Weaviate/Qdrant/FAISS, Twilio, ElevenLabs, web scraping, Docker, AWS.

I specialized in AI Agents, RAG systems, workflow automation, and enterprise AI applications. I have built 40+ AI solutions including knowledge assistants, document intelligence platforms, multi-agent systems, AI chatbots, and business process automation tools using OpenAI, Claude, Gemini, LangGraph, FastAPI, and vector databases. 🔑 What that means for you: Autonomous AI agents that replace repetitive human tasks. RAG chatbots that answer questions over your actual documents, databases, and internal tools and not hallucinated guesses LLM pipelines (GPT-4o, Claude, Gemini) integrated cleanly into your existing backend, and no rip-and-replace n8n / Make automation workflows that connect your CRM, Slack, email, and APIs into one intelligent system Production-grade backends (FastAPI, Django) on AWS / Azure / GCP that scale when you grow Top Rated Plus · 100% Job Success · 5-star average 💡 WHAT I BUILD FOR YOU ▸ AI Agents & Agentic Workflows Multi-step LangGraph agents that plan, reason, and execute across tools and APIs. Built for SaaS products, internal ops, and customer-facing automation. Not toy demos — production pipelines with error handling, retries, and logging. ▸ RAG-Based Chatbots & Knowledge Assistants Your documents, your database, your knowledge — made conversational. I build RAG systems using Pinecone, Weaviate, or pgvector + OpenAI/Gemini that return accurate, cited answers over thousands of files. ▸ LLM Integrations & Prompt Engineering GPT-4o, Claude 3.5, Gemini — function calling, structured outputs, tool use, reasoning chains. I handle the full stack from prompt design to API integration to output validation. ▸ Workflow Automation (n8n, Make, Zapier) Trigger-based and agentic workflows connecting your CRMs, databases, communication tools, and APIs. Cut operational overhead without replacing your team. ▸ Backend for AI Products Async FastAPI / Django services, background task queues, cloud storage, auth systems — designed to support AI-heavy workloads at scale on AWS, Azure, or GCP. ▸ Voice & Generative AI (Advanced) Real-time voice AI pipelines, voice cloning APIs, talking avatar systems, LLM-powered report generation — for teams building the next generation of AI-native products. 🔧 MY TECH STACK AI/LLM: OpenAI · Claude · Gemini · LangChain · LangGraph · llamaindex · CrewAI RAG: Pinecone · Weaviate · pgvector · FAISS · ChromaDB Automation: n8n · Make · Zapier · Webhooks Backend: FastAPI · Django · Flask · Celery · Redis Cloud: AWS · Azure · GCP · Docker · GitHub Actions Databases: PostgreSQL · MongoDB · MySQL · Supabase 📋 HOW WE WORK TOGETHER Discovery Call (30 min) — I understand your workflow, pain points, and current stack Scoped Proposal — You get a clear breakdown of deliverables, timeline, and cost Build & Iterate — Weekly check-ins, live demos, clean commits. You always know the status Deploy & Hand Off — Production deployment + documentation + 2 weeks of post-launch support I don't disappear after delivery. I build systems you can maintain, extend, and trust. Ready to replace manual work with intelligent AI? 📩 Message me now — I respond within 4 hours and offer a free 15-minute scope call for serious projects.

Research Publications | AI Development | Data Analysis I'm a Data Scientist with 2+ years of experience in Data Scraping, Data Analysis, Data Visualization, Machine Learning, Deep Learning, Computer Vision, and NLP. I work primarily in Python and R/RStudio. What I Do: 📊 Statistical Analysis, Time Series Analysis, Quantitative & Predictive Analysis 🤖 Designing, developing, and fine-tuning ML/DL models that deliver real impact 🚀 Building models from scratch or optimizing existing ones Background: Currently pursuing a Master's in Data Science with hands-on experience across Machine Learning, Deep Learning, and Advanced Analytics. Technical Skills: Languages: Python 🐍, R 📈 Frameworks: TensorFlow, Keras, PyTorch, Scikit-learn, Hugging Face Transformers, XGBoost, LightGBM, CatBoost, OpenCV, FastAPI, Flask, Streamlit Libraries: NumPy, Pandas, Matplotlib, Seaborn, Plotly, Statsmodels, SciPy Data Tools: Selenium, Scrapy, SQL, Power BI, Tableau, AWS (S3, Glue, Redshift), GCP, Azure ML Others: MATLAB, Git, Docker, Google Earth Engine Project Experience: I've delivered projects across healthcare, finance, computer vision, and geospatial analytics. Some highlights: Built deep learning models for drought prediction using 20 years of satellite data Developed medical image classification systems for cervical cancer detection using DenseNet, ResNet, and EfficientNet architectures Designed sales forecasting pipelines and stock market analysis dashboards with interactive visualizations Created an AI voice assistant for paramedics Built a real-time multi-camera object tracking system Developed a student pressure dashboard powered by D3.js Explored XAI methods (GradCam, SHAP, LIME) for model interpretability Implemented models for churn prediction and match outcome forecasting These projects combine machine learning, deep learning, and data science to deliver practical, impactful solutions. What I Offer: ✅ Machine Learning Models: Build, fine-tune & deploy high-performance ML solutions ✅ Deep Learning Architectures: Custom DL models tailored to your needs ✅ Python Programming: Clean, optimized code for ML & data science tasks ✅ Data Analytics & Visualization: Insightful analysis and compelling visuals ✅ Data Scraping & Parsing: Data extraction using BeautifulSoup, Scrapy, and Selenium Why Work With Me: ✨ Strong expertise in both ML and DL ✨ Clear communication throughout projects ✨ Fast delivery with professional support ✨ Focus on quality and client satisfaction I take pride in delivering solutions that work. My approach is straightforward: build powerful models, provide actionable insights, and ensure clients are happy with the results. Let's Work Together: If you need someone who can take your machine learning projects to the next level, I'm here to help turn your ideas into reality. 🚀

I have a decade of hands-on experience in machine learning and Python backend development, and I have a strong informatics background (Ph.D. in Bioinformatics ). In addition to my Ph.D., I obtained several certificates from world-renowned institutions in data science, which helped me form sound hypotheses and clear conclusions combined with concise visualizations. I can help you build the whole ML pipeline from scratch or improve your solutions. I can handle various tasks, such as NLP, Time Series Analysis, Computer Vision, GANs, developing bots, deploying APIs for ML models, etc. Skills: - Languages: Python & R - Frameworks: PyTorch, TensorFlow, Keras, Flask - Libraries: LangChain, NumPy, Pandas, Scikit-Learn, Plotly, SciPy, NLTK, LightGBM, XGBoost - DB: MySQL, PostgreSQL, MongoDB - Version control: GIT - Other: Docker, Google Cloud, LLM, ChatGPT, LLaMA

𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐭𝐨 𝐮𝐩𝐠𝐫𝐚𝐝𝐞 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐰𝐢𝐭𝐡 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞? You are at the right place. I am Sajeel Hashmi, an AI Engineer with 5+ years of experience designing sophisticated neural architectures tailored to specific data challenges. My expertise lies in building systems that can interpret visual, linguistic, and sequential datasets, ensuring each model is backed by rigorous research and optimized for real-world impact. 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: I create systems that interpret images, video, including object detection, segmentation, OCR pipelines, video analytics, and modern multimodal models combining vision and language for richer understanding. 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: I develop tools that read and analyze text like a human, classifying content, extracting insights, summarizing documents, and making large text collections searchable and structured. 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 & 𝐋𝐋𝐌-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: I build conversational assistants, retrieval-augmented systems (RAG), knowledge tools, and agent workflows powered by large language models to answer questions, automate tasks, and reason through complex queries. 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐝𝐫𝐢𝐯𝐞𝐧 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬: I deliver predictive and analytical models that forecast outcomes, cluster patterns, and support decision-making, turning raw data into meaningful predictions. 𝐓𝐢𝐦𝐞 𝐒𝐞𝐫𝐢𝐞𝐬 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠: I work with temporal data to predict trends, detect anomalies, and optimize processes, helping teams plan better, reduce risk, and operate efficiently. 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 • Deep Learning: PyTorch, TensorFlow, Keras, Hugging Face Transformers, QLoRA, LoRA, ONNX, Quantization, Pruning. • Computer Vision: OpenCV, Ultralytics (YOLO), Segmentation, OCR (EasyOCR, KerasOCR), VLMs. • NLP & GenAI: Tokenizers, spaCy, NLTK, Vector Search (Faiss, Chroma, Pinecone), RAG pipelines, Agentic workflows. • Data & Analytics: NumPy, Pandas, SciPy, Statsmodels, SQL, XGBoost, LightGBM, ARIMA, Prophet. • Deployment & Backend: FastAPI, Django, Docker, GitHub Actions, REST APIs, Redis + Celery, Cloud GPU Inference. 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞 I help clients turn complex AI ideas into real-world impact. • Proven Results: High-performing AI systems that generate measurable value. • End-to-End Solutions: From data prep to deployment, all integrated smoothly. • Scalable & Production-Ready: Reliable systems with automated workflows and cloud deployment. • Technical Rigor: Leveraging the latest research in CV, NLP, and Generative AI. 𝐋𝐞𝐭’𝐬 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐞 If you’re looking for an AI engineer to turn ideas into real-world solutions, let’s connect! I specialize in delivering impactful, production-ready systems. Reach out today to discuss your project.

🧑‍💻 Worked with Google and NVIDIA developers on AI projects ⭐ Top Rated AI Engineer with 100% Job Success Rate 🚀 7+ years of AI experience 🥈 MS Data Science (Silver Medalist) Senior AI Engineer with experience building AI systems using LLMs, RAG, AI agents, voice AI, and automation. Not sure where AI can add value to your business? I can help identify opportunities to improve or automate your workflow, then build a solution that supports your business goals. 🏆 𝙊𝙥𝙚𝙣 𝙎𝙤𝙪𝙧𝙘𝙚 𝘾𝙧𝙚𝙙𝙞𝙗𝙞𝙡𝙞𝙩𝙮 Worked with Google and NVIDIA developers on advanced AI model implementations. Experienced in building high-quality, production-level code aligned with industry engineering standards. 🚀 𝙎𝙤𝙢𝙚 𝙚𝙭𝙖𝙢𝙥𝙡𝙚𝙨 𝙤𝙛 𝙢𝙮 𝙬𝙤𝙧𝙠: 🤖 𝑨𝑰 𝑪𝒉𝒂𝒕𝒃𝒐𝒕𝒔, 𝑨𝒈𝒆𝒏𝒕𝒔, 𝒂𝒏𝒅 𝑽𝒐𝒊𝒄𝒆 𝑺𝒚𝒔𝒕𝒆𝒎𝒔: Built healthcare and customer support systems using RAG and specialized AI agents for FAQs, patient data queries, appointment workflows, product search, and order management. Integrated web, SMS, and WhatsApp channels, along with real-time voice interaction using streaming speech-to-text and text-to-speech. These systems reduced support workload by approximately 40%. 🏦𝑽𝒐𝒊𝒄𝒆 𝑨𝑰 𝒇𝒐𝒓 𝑩𝒂𝒏𝒌𝒊𝒏𝒈: Led the development of a low-latency voice banking assistant using LangGraph Agents, Google streaming Speech-to-Text, and Text-to-Speech. It supported banking workflows such as balance inquiries, fund transfers, bill payments, beneficiary management, and debit card controls, with a target response time of under two seconds. 📊𝑳𝒂𝒓𝒈𝒆-𝑺𝒄𝒂𝒍𝒆 𝑨𝑰 𝑬𝒗𝒂𝒍𝒖𝒂𝒕𝒊𝒐𝒏: Built a multimodal AI grading system that processes 150K+ student evaluations daily, including written and voice responses, rubrics, graphs, tables, diagrams, and images. 🧬 𝑯𝒆𝒂𝒍𝒕𝒉𝒄𝒂𝒓𝒆 𝑨𝑰 𝒂𝒏𝒅 𝑴𝒆𝒅𝒊𝒄𝒂𝒍 𝑫𝒂𝒕𝒂: Developed a LangGraph-based medical assistant that retrieves and explains patient records using FHIR R4 and Google Cloud Healthcare API, including scalable processing of large healthcare datasets. 📄𝑫𝒐𝒄𝒖𝒎𝒆𝒏𝒕 𝑨𝑰 𝒂𝒏𝒅 𝑹𝑨𝑮: Developed pipelines that extract structured information from complex PDFs using OCR and multimodal LLMs, retrieve supporting evidence, and evaluate curriculum lessons against educational standards. 👁️ 𝑪𝒐𝒎𝒑𝒖𝒕𝒆𝒓 𝑽𝒊𝒔𝒊𝒐𝒏 𝒂𝒏𝒅 𝑬𝒅𝒈𝒆 𝑨𝑰: Built real-time object detection, tracking, and counting systems for industrial conveyor belts, optimized for deployment on mobile and edge devices. 🧩 𝘼𝙧𝙚𝙖𝙨 𝙄 𝘾𝙖𝙣 𝙃𝙚𝙡𝙥 𝙒𝙞𝙩𝙝: AI Chatbots | RAG Systems | AI Agents | Workflow Automation (n8n, Make) | Customer Support Automation (CRM, WhatsApp) | Voice AI & Phone Agents (ElevenLabs, Vapi, Retell AI, Twilio) | Internal Knowledge Assistants | Document AI & OCR | LLM Fine-tuning | API Integrations | AI Backend Development | AI Deployment & Optimization | Computer Vision (detection, segmentation, tracking) 🌍𝙄𝙣𝙙𝙪𝙨𝙩𝙧𝙞𝙚𝙨 𝙄’𝙫𝙚 𝙎𝙚𝙧𝙫𝙚𝙙: 🏥 Healthcare | 📚 Education | 🤖 Customer Support | 📈 Marketing | 💰 FinTech 🛠️𝙏𝙚𝙘𝙝 𝙎𝙩𝙖𝙘𝙠 → LLMs and APIs: OpenAI, Claude, Gemini → AI Frameworks: LangChain, LangGraph, Rasa, Hugging Face → Retrieval and RAG: Hybrid search, query rewriting, reranking, Chroma → Voice AI and Telephony: Twilio, Vapi, Retell AI, ElevenLabs, streaming STT/TTS → Workflow Automation: n8n, Make, Zapier → CRM and Business Integrations: GoHighLevel, HubSpot, Shopify → ML and Computer Vision: PyTorch, TensorFlow, Keras, OpenCV → Backend and Deployment: Python, FastAPI, Docker, AWS, GCP, PostgreSQL I'm available for short and long-term projects, with a focus on building AI systems that are reliable, scalable, and production-ready. If you’re building an AI product and need someone who understands both research and production engineering, let’s discuss your project.

I've spent 5+ years building production AI systems — chatbots, voice agents, RAG pipelines, multi-agent workflows, and full-stack AI tools that solve real business problems, not just pass a demo. I don't call an API and hand you a script. I think through the full system — architecture, reliability, edge cases, and the user on the other end — and I build something that actually holds up. 📦 Recent Projects → 🎭 new varioum — Shakespeare RAG system. Ask anything about Shakespeare's works and get accurate, source-grounded answers powered by a custom RAG pipeline → 🎙️ Voice AI Agent — Real-time voice agent with cloned voice output. Sub-2s response. Flask + ElevenLabs + Whisper → 👕 Virtual Try-On (Clothing) — AI-powered virtual fitting room that lets shoppers see garments on themselves in real time. Pose detection + garment warping for realistic fit and draping, built with computer vision and diffusion-based image generation → 🌍 Perplexity-Style Chatbot — Live web search + RAG pipeline for real-time, source-grounded answers → 🔗 Lead Automation Pipeline — End-to-end workflow across Notion and Google Sheets. Zero manual data entry → 📂 Smart File Analyzer — Upload any doc, get instant summaries, visualizations, and structured insights 🛠️ What I Build 🤖 AI Agents & Chatbots — Multi-agent systems and LLM-powered assistants using Claude, GPT, and Mistral. Context-aware, reliable, production-ready 🧠 RAG & Knowledge Systems — Connect your docs, databases, and internal data to an LLM that actually retrieves accurately. Pinecone, Qdrant, ChromaDB, FAISS 🎙️ Voice AI — Real-time voice agents with cloned voices, live transcription, and low-latency response for customer-facing and internal tools 🪞 Virtual Try-On & Visual AI — Let customers try clothing and products virtually before buying. Pose estimation, garment fitting, and photorealistic rendering built to drive e-commerce conversion ⚙️ LLM Integration — Wire Claude, GPT-4, or open-source models into your SaaS product, internal tool, or workflow with proper prompt engineering and memory management 🔁 AI Automation — Replace manual workflows with intelligent pipelines using LangChain, n8n, and Zapier. Trigger-based, reliable, and easy to maintain 📊 Full-Stack AI Apps — Dashboards, APIs, file processors, web scrapers, and MVPs built with FastAPI, Streamlit, Flask, Supabase, and Firebase 🚀 Startup MVPs — From rough idea to working AI product. Fast scoping, fast delivery, no bloat 🧰 Stack LLMs: OpenAI, Claude, Mistral, LLaMA Agents: LangChain, LangGraph, CrewAI RAG: Pinecone, Qdrant, ChromaDB, FAISS, embeddings Voice: ElevenLabs, Whisper, Deepgram Computer Vision: MediaPipe, OpenCV, YOLO, pose estimation Image Generation: Stable Diffusion, ControlNet, diffusion-based try-on Backend: Python, FastAPI, Flask, Supabase, Firebase Frontend & Dashboards: Streamlit, React basics Automation: n8n, Zapier, Make Infrastructure: Docker, Vercel, DigitalOcean, Azure, AWS basics Other: OCR, web scraping, REST APIs ✅ How I Work → I scope clearly upfront — no surprises mid-project → I ship working versions fast, then iterate → I communicate consistently — you always know where things stand → I think full-product, not just the AI layer