Sandesh Pargaonkar

Machine Learning Engineer

Pune, Maharashtra, India1 yr 11 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in AI Agents and Computer Vision.
Proficient in building scalable ML systems.
Led multiple industry-level AI projects.

Stackforce AI infers this person is a Machine Learning and AI specialist with a focus on scalable solutions.

Contact

sandesh.pargaonkar@createbytes.com LinkedIn

Skills

Core Skills

Natural Language ProcessingComputer VisionMachine LearningGenerative Ai

Other Skills

Analytical SkillsAzure OCRCommunicationDBSCANData AnalysisData ScienceData VisualizationDatabase Management System (DBMS)Decision TreeFAISSFastAPIGPTInterpersonal SkillsLangChainLinear Algebra

About

Artificial Intelligence and Machine Learning Engineer with strong expertise in AI Agents, Computer Vision, NLP, and MLOps. Proficient in building and deploying production-grade ML systems with automation, optimization, and cloud scalability. Familiar With: [Programming Language]: Python, SQL [Framework & Libraries]: TensorFlow, PyTorch, Keras, OpenCV, HuggingFace Transformers, LangChain, LangGraph, Pandas, NumPy, Seaborn, FastAPI, Flask, Scikit-learn, Datasets, FAISS [DevOps/MLOps]: Docker, Kubernetes, GitHub Actions, DVC, ONNX, TensorRT, CI/CD, Linux Terminal, Azure (Blob, OCR), AWS (S3, EC2, Lambda) [More]: Natural Language Processing, Computer Vision, AI Agents, Document AI, Facial Emotion Recognition, Face & Human Body Detection, Smile Detection, Face Pose Estimation [Machine Learning & Generative AI Models]: CNNs, ResNet50, Logistic Regression, k-NN, Decision Trees, Ensemble Models, BERT, Mixtral, OpenAI Models, Zero-DCE [RAG System]: LangGraph, FAISS, Pinecone, Azure OCR, Chunking, Vectorization, Retrieval-Augmented Generation, Document Generation [Information Extraction]: Entity Extraction, Triplet Extraction(Text2KnowledgeGraph), Text Summarization, Clustering (DBSCAN)

Experience

1 yr 11 mos

Total Experience

11 mos

Average Tenure

1 yr 5 mos

Current Experience

Createbytes

2 roles

AI ML Engineer

Jan 2025 – Present · 1 yr 5 mos · Gurugram, Haryana, India

Machine Learning Intern

Jul 2024 – Dec 2024 · 5 mos · Gurugram, Haryana, India

During my internship at CreateBytes, I contributed to building innovative machine learning and AI solutions:
Developed an automated summary generation system using Azure OCR and Mixtral 8x7b, streamlining document processing.
Engineered contextual embeddings with Transformer models and FAISS, enabling precise and efficient document similarity retrieval through DBSCAN clustering.
Enhanced accessibility with a multilingual translation and TTS module using IndicTrans and IndicTTS2.
Boosted face recognition accuracy by 25% in low-light videos by integrating Zero-DCE into a CCTV-based system.
Designed and deployed advanced image processing APIs for tasks like human body outlining, face detection, and emotion recognition using TensorFlow, PyTorch, and FastAPI.
Successfully led 5 industry-level projects and ensured smooth maintenance of 10 completed projects.
This experience sharpened my skills in NLP, computer vision, and scalable AI, allowing me to deliver impactful solutions in a fast-paced environment.

Azure OCRMixtralFAISSDBSCANTensorFlowPyTorch+3

Zep analytics

Data Science Intern

Dec 2023 – Jun 2024 · 6 mos · Remote · Remote

Designed, developed and implemented machine learning models like Logistic Regression, SVM, k-NN, Decision Tree, and others for enhanced performance and scalability.
Worked on multiple Proof of Concepts of Generative AI for potential clients using LangChain library and GPT, Mistral, Llama 3 and other language models for building user friendly services.
Initiated projects like Multi document chatbot, Insurance claim analyzer employing processes like Text Chunking, Embedding Generation, Vector database, and Retriever.

Logistic RegressionSVMk-NNDecision TreeLangChainGPT+4

Yoshops.com

Data Science Intern

Jan 2023 – Feb 2023 · 1 mo · Remote

Teamed up to extract, clean, and manipulate raw data, generating actionable insights.
Applied machine learning techniques such as predictive modeling and inventory optimization to boost efficiency and offer data-driven solutions.
Actively learned and applied new data science techniques and tools, staying up-to-date with industry best practices.