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I am a results-driven AI/ML Engineer with over 5 years of experience in architecting and deploying scalable, production-grade machine learning systems. I am proficient in Python, PyTorch, and frameworks such as LangChain and Huggingface Transformers. I am passionate about building intelligent applications that translate cutting-edge research into tangible business value. Throughout my career, I have orchestrated the full lifecycle of machine learning projects, including fine-tuning large language models and Vision Transformers, building generative AI systems and recommendation engines, and applying MLOps best practices with CI/CD pipelines and containerization. I thrive in creating scalable backend architectures and automating complex workflows to deliver high-impact AI solutions for various industries.…I am a results-driven AI/ML Engineer with over 5 years of experience in architecting and deploying scalable, production-grade machine learning systems. I am proficient in Python, PyTorch, and frameworks such as LangChain and Huggingface Transformers. I am passionate about building intelligent applications that translate cutting-edge research into tangible business value. Throughout my career, I have orchestrated the full lifecycle of machine learning projects, including fine-tuning large language models and Vision Transformers, building generative AI systems and recommendation engines, and applying MLOps best practices with CI/CD pipelines and containerization. I thrive in creating scalable backend architectures and automating complex workflows to deliver high-impact AI solutions for various industries.

Aseem Kumar Sharma

AI Engineer, AI Developer, Developer, +2

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I am a results-driven AI/ML Engineer with over 5 years of experience in architecting and deploying scalable, production-grade machine learning systems. I am proficient in Python, PyTorch, and frameworks such as LangChain and Huggingface Transformers. I am passionate about building intelligent applications that translate cutting-edge research into tangible business value. Throughout my career, I have orchestrated the full lifecycle of machine learning projects, including fine-tuning large language models and Vision Transformers, building generative AI systems and recommendation engines, and applying MLOps best practices with CI/CD pipelines and containerization. I thrive in creating scalable backend architectures and automating complex workflows to deliver high-impact AI solutions for various industries.…I am a results-driven AI/ML Engineer with over 5 years of experience in architecting and deploying scalable, production-grade machine learning systems. I am proficient in Python, PyTorch, and frameworks such as LangChain and Huggingface Transformers. I am passionate about building intelligent applications that translate cutting-edge research into tangible business value. Throughout my career, I have orchestrated the full lifecycle of machine learning projects, including fine-tuning large language models and Vision Transformers, building generative AI systems and recommendation engines, and applying MLOps best practices with CI/CD pipelines and containerization. I thrive in creating scalable backend architectures and automating complex workflows to deliver high-impact AI solutions for various industries.

Available to hire

I am a results-driven AI/ML Engineer with over 5 years of experience in architecting and deploying scalable, production-grade machine learning systems. I am proficient in Python, PyTorch, and frameworks such as LangChain and Huggingface Transformers. I am passionate about building intelligent applications that translate cutting-edge research into tangible business value.

Throughout my career, I have orchestrated the full lifecycle of machine learning projects, including fine-tuning large language models and Vision Transformers, building generative AI systems and recommendation engines, and applying MLOps best practices with CI/CD pipelines and containerization. I thrive in creating scalable backend architectures and automating complex workflows to deliver high-impact AI solutions for various industries.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Hindi

Advanced

Work Experience

AI - ML Lead at Curriculo.me

May 1, 2024 - Present

Architected and led the end-to-end development of a generative AI application automating resume creation for end-users. Engineered a sophisticated RAG pipeline by fine-tuning LLMs like Mistral 7B and leveraging LangChain. Designed scalable backend architecture with vector databases such as pgvector, Qdrant, and Pinecone, including a novel hybrid Vector/Graph DB solution for improved data retrieval performance. Established a full CI/CD pipeline using Amazon CDK, automating deployment and increasing development velocity significantly.

AI - ML Engineer at KreedaLabs

September 30, 2023 - August 27, 2025

Designed and deployed a production-scale hybrid recommendation engine on AWS, boosting targeted user engagement for a media streaming platform. Developed and trained reinforcement learning agents for complex gaming environments like Doom and Mario using curriculum and sequential learning. Engineered diverse ML solutions, including generative AI models for content synthesis and YOLO-based object detection systems to improve accuracy in security and industrial use cases.

Data Science Consultant at Atrium

November 30, 2022 - August 27, 2025

Translated complex business requirements for major international clients such as Sony PlayStation, Goosehead, Moog Insurance, and Idexx Labs into high-impact data solutions. Engineered a recommendation engine for Sony's PlayStation digital ad-sales platform using sentiment analysis and customer history. Led unified data infrastructure creation for IDEXX Labs by migrating multiple sources into a single source of truth. Built and deployed customer attrition and opportunity conversion models using Salesforce Einstein, Spark, AWS SageMaker, and integrated various data platforms to improve client retention and optimize sales forecasting.

Data Science Intern at Center for Development of Advanced Computing (C-DAC), Pune

June 30, 2020 - August 27, 2025

Developed and optimized a weather forecasting model leveraging historical data and ML algorithms, significantly improving anomaly detection and naval navigation safety. Transformed unstructured NASA API data into actionable insights for advanced weather analysis and visualization. Achieved 96.1% accuracy using a Random Forest model for coastal anomaly predictions. Explored deep learning approaches with RNNs for time series forecasting and collaborated in data visualization and continuous model improvement.

ML - AI Intern at Center for Development of Advanced Computing (C-DAC), Noida

July 31, 2019 - August 27, 2025

Developed a robust OCR system for handwritten Odia text using CNNs, NLP techniques, and advanced preprocessing methods. Enhanced accuracy through clustering algorithms like KNN and KMeans and built a comprehensive dataset using tokenization and stemming. Contributed significantly to regional language technology, improving digital accessibility for Odia text.