Top LLM Engineer - Remotes

Experienced NLP Engineer and Python Developer specializing in LLMs | Open for Freelance/ Contract/ Full time Opportunities Recent graduate with a B.Tech in Artificial Intelligence & Machine Learning, leveraging cutting-edge technologies to solve complex problems in NLP and AI. My expertise includes: - LLM implementation and fine-tuning (Llama2, Mistral, Zephyr) - Retrieval Augmented Generation (RAG) - AI-driven document extraction and analysis - Cybersecurity threat detection using LLMs - Semantic search and QA chatbot development - Code generation using Agentic RAG Proven track record in diverse projects: - Optimized AI-driven document extraction systems at ImaginorLabs - Built cybersecurity threat detection apps using Langchain and Llama-index - Conducted NLP research on text similarity algorithms at Wayne State University - Developed spiritual data applications leveraging GPT and vector databases Passionate about continuous learning and applying AI to real-world challenges, seeking opportunities to innovate and push the boundaries of NLP and LLM technologies. Let's connect and explore how we can drive AI innovation together!

I’m an AI/LLM Engineer, building impactful NLP and GenAI solutions—from custom chatbot assistants to fine-tuned LLMs . I’ve worked on client-facing projects where understanding business goals and aligning AI systems to them directly contributed to user engagement, retention, and product growth. I’ve led initiatives involving model fine-tuning (LLAMA, GPT-4o-mini), RAG systems, data pipelines, and even product-facing metrics like CTR and conversion optimization. Currently, I’m focused on merging technical depth with product thinking. I’m building an AI-powered MVP that solves real user problems by blending LLMs with lean product strategy—keeping user value, time-to-insight, and adoption in focus. My goal is to transition into a role where I can drive AI product development end-to-end—from ideation to deployment—while collaborating across tech, design, and business teams.

AI engineer exploring the intersection of artificial intelligence, cloud computing, and cybersecurity. Currently focusing on integrating OpenAI's GPT models and Anthropic's Claude models into various use cases to efficiently and dynamically solve historically complex problems through Natural Language Processing (NLP) and Natural Language Understanding (NLU).

As an Jr. AI Engineer, I’m passionate about applying cutting-edge AI technologies to solve real-world challenges. My focus is on understanding intricate problems and developing tailored AI solutions that meet specific needs. I thrive in environments where I can work closely with teams to bring innovative ideas to life, ensuring the solutions I contribute to are both impactful and aligned with broader business goals. Through continuous learning and hands-on experience, I’m committed to advancing my skills and making meaningful contributions to the field of AI.

Innovative Software Engineer with experience designing and deploying scalable systems. Expertise in cloud infrastructure (AWS, Azure), AI-driven tools (Langchain, OpenAI models), and full-stack development (React, Spring). Passionate about leveraging cutting-edge technologies to solve complex problems and enhance user experience.

Hey ! I am a cloud-native data engineering leader with a passion for building resilient architectures that power enterprise transformation. I bring extensive experience in leading modernization initiatives across Azure and GCP, driving performance-tuned systems for batch and streaming workloads, and architecting GenAI solutions that automate and scale with precision.⁣ ⁣ From designing real-time, serverless data-processing platforms to developing microservices using 𝐒𝐩𝐫𝐢𝐧𝐠 𝐁𝐨𝐨𝐭 𝐖𝐞𝐛𝐅𝐥𝐮𝐱 and 𝐒𝐋𝐅𝟒𝐉-𝐥𝐨𝐠𝐠𝐞𝐝 𝐨𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲, I thrive at the intersection of innovation and operational excellence. At Albertsons, I led the automation of product catalog enrichment via multi-model LLM pipelines—𝐚𝐜𝐡𝐢𝐞𝐯𝐢𝐧𝐠 𝟗𝟓% 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲 𝐟𝐨𝐫 𝟏𝟎𝐊+ 𝐒𝐊𝐔𝐬 𝐝𝐚𝐢𝐥𝐲 and cutting manual efforts by 𝟖𝟎%.⁣ ⁣ Whether migrating Snowflake to BigQuery, transitioning platforms from PCF to AKS, or integrating RESTful APIs across multi-cloud systems, I prioritize cost-efficiency, traceability, and delivery integrity. With a background in Hadoop, Spark, Hive, Cassandra, and a variety of data lakes and NoSQL databases, I bring end-to-end expertise to every engagement—from ETL pipelines to real-time analytics.⁣ ⁣ My goal? To lead teams that craft scalable, intelligent systems which unlock business value at petabyte scale.⁣ ⁣ 𝐂𝐨𝐫𝐞 𝐂𝐨𝐦𝐩𝐞𝐭𝐞𝐧𝐜𝐢𝐞𝐬⁣ ⁣ * 𝐂𝐥𝐨𝐮𝐝 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐌𝐨𝐝𝐞𝐫𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Led end-to-end transitions including Databricks upgrades, Snowflake-to-BigQuery shifts, and PCF-to-AKS migration with optimized cost performance.⁣ * 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Developed Spark-based batch and streaming pipelines handling thousands of records and supporting 2,300+ retail locations.⁣ * 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲 & 𝐄𝐫𝐫𝐨𝐫 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠: Enabled enterprise-grade monitoring with SLF4J logs, telemetry layers, and audit-traceable pipelines to support uptime and error resilience.⁣ * 𝐌𝐮𝐥𝐭𝐢-𝐂𝐥𝐨𝐮𝐝 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: Operationalized hybrid cloud solutions leveraging GCP, Azure, Cosmos DB, and BigQuery to scale applications and streamline processing.⁣ * 𝐃𝐢𝐬𝐚𝐬𝐭𝐞𝐫 𝐑𝐞𝐜𝐨𝐯𝐞𝐫𝐲 & 𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐢𝐭𝐲: Designed backup strategies for Cassandra, HDFS, and NoSQL platforms to ensure system continuity and data resilience.⁣ ⁣ I am open to dynamic opportunities that leverage emerging technologies, data-driven architecture, and scalable digital solutions. If you're seeking a forward-thinking data engineering professional who bridges innovation with execution—reach out.

Senior Data Scientist, currently working in LLMs Some of my skills include: Language: Python, SQL Vision Tech stack: OpenCV, Pytorch, Tensorflow (basic) Data Science stack: Pandas, NumPy, scikit-learn, matplotlib, seaborn, plotly Optimization(LP): pulp Development/Deployment: PyQt, flask, fast-api, Streamlit Database: MySQL, Postgres, (basics of Hive, HBase) and learning more...

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A dedicated machine learning enthusiast driven by a deep love for problem-solving. With 3 years of experience in analyzing various types of data, I thrive on tackling challenges head-on and finding innovative solutions. Currently, I'm pursuing a master's degree in Data Science at the University of San Francisco. My goal is to get hands-on experience in data science built upon a solid foundation in statistics, data engineering, and machine learning.