Headline

Senior Manager AI | ML | Lead Machine Learning Engineer | Lead Data Scientist | Generative AI | Computer Vision | Mentor | Instructor | SME | Trainer

About

Greetings. My name is Prakhar Acharya and I'm a Senior Manager AI | ML, currently working at Quantzig, who takes pride in being a highly motivated and talented professional. I’m empowered by hard work with expansive professional skills. A detail-oriented, accurate individual with a passion for data science, innovation, and finance. I am very passionate about the emerging opportunities and creative avenues that the technology of AI and Data Science offers today and have been building myself along the same foundational vision and computers and technology. Especially when I look back on the past 6 years of my career, the changes that have occurred, and how companies can embrace those changes to get to the next level. It is my job to understand the growth objectives and issues that a company is facing and identify ways to solve those problems. I am proficient in Python | SQL | BigQuery | Machine Learning | Data Science | Statistical Modeling | Data Analysis | Data Visualization | Data Warehousing | GCP | AWS | APIs | Document AI | Vertex AI | AutoML | Kubernetes | Docker | Airflow | Deep Learning | Computer Vision | NLP | Tensorflow | Pandas | Scikit-learn | Numpy | Looker | Time Series | Vision | Pylint | Technical Design Documentation | MLOps | Linux | Git | Agile | Terraform If you catch me outside of work, I'm an adventurous traveler - all the beauty spots around India and more - and an avid lover of Tennis and Cricket!. I believe all of this helps to improve quality of life and keeps the body and mind healthy. I also like meeting new people over a cup of coffee or a choice of your cuisine. Feel free to reach out to me here on LinkedIn.

Location

Bengaluru

AI stack

claude code

hugging face

langchain

langgraph

vLLM

Wispr Flow

Work experience

Senior Associate L2 - DS-AI & Machine Learning at Publicis Sapient, Feb 2024 - Present · 2 yrs 7 mos, Bengaluru, Karnataka, India, Generative AI • Built a knowledge base using Milvus for efficient document storage and retrieval via vector search • Established a FastAPI endpoint to manage user queries and coordinate microservices • Combined LangChain and OpenAI GPT for relevant, empathetic responses • Deployed on Kubernetes for auto-scaling and microservice management • Integrated ELK stack for proactive issue detection MLOps • Created a cloud-agnostic AI-ML platform on Kubernetes for cost-effective MLOps • Used Terraform for consistent multi-cloud infrastructure • Implemented GitOps with Argo CD for continuous deployment and Kubernetes app sync • Incorporated real-time inferencing, tracking, and monitoring components • Utilized Kubeflow for end-to-end ML orchestration, scalability, and reusability • Introduced a no/low-code drag-and-drop framework for easy ML pipeline creation

Data Scientist II | Decision Scientist at Zepto, Sep 2023 - Jan 2024 · 5 mos, Bengaluru, Karnataka, India

Senior Machine Learning Engineer at Quantiphi, Jan 2022 - Sep 2023 · 1 yr 9 mos, 1. Led a team of 6 in deploying an AI/ML platform, migrating it seamlessly from AWS to GCP, and optimizing operational efficiency. 2. Orchestrated an end-to-end AI/ML platform, covering data analysis, preprocessing, model training, monitoring, and explainability. 3. Enhanced project value with expertise in recommendation systems, implementing collaborative filtering, content-based filtering, and ranking algorithms. 4. Automated model deployment with Git integration and streamlined infrastructure using Terraform and Docker for improved performance and scalability. 5. Designed and developed an agile Doc AI solution pipeline on GCP, automated entity extraction, reduced processing time, and conducted user training for widespread adoption.

Machine Learning Engineer at Quantiphi, Oct 2020 - Dec 2021 · 1 yr 3 mos, 1. Orchestrated end-to-end machine learning pipelines using Python, TensorFlow, Vertex AI, and Apache Airflow, optimizing data management, training, hyperparameter tuning, and model deployment. 2. Applied cutting-edge Autoencoders for anomaly detection in sensor data, ensuring the reliability of the electrical production process. 3. Developed real-time and batch prediction capabilities for machine downtime using Apache Beam, Dataflow, and MLOps practices, enhancing system scalability and performance. 4. Created an image defect detection application, analyzing 500k+ images daily using Python, AutoML Vision, and YOLOv4, addressing data bias challenges. 5. Leveraged AI Platform, Looker, BigQuery, and Git for road safety analysis, providing descriptive reports, accident hotspot identification, and predictive models to support proactive safety measures.

Instructor | Mentor at Board Infinity, Sep 2020 - Aug 2022 · 2 yrs, Remote

Analyst at Aspire Systems, Jun 2018 - Sep 2020 · 2 yrs 4 mos, Chennai, Tamil Nadu, India

Education

Bachelor of Technology - BTech, Electrical and Electronics Engineering, Vellore Institute of Technology

Delhi Public School Patna

Public links

github: https://github.com/prakhar2795