Pratik A. — Product Manager

Experienced Python GenAI Engineer | LLMs, LangChain, RAG, Vector Databases | FastAPI | Flask | Django | Azure | AWS | MCP Server Results-driven Python developer with 7+ years of experience specializing in Generative AI, Retrieval-Augmented Generation (RAG), and scalable web application development. Proficient in architecting and deploying intelligent systems using LangChain (OpenAI model integrations), vector stores, and embedding models to power next-gen AI applications. 🔧 Core Competencies: LLMs & GenAI Solutions: Expert in building AI-driven automation, content generation, and chat interfaces using LangChain, OpenAI, and custom embedding pipelines. RAG Pipelines: Designing optimized retrieval-augmented generation architectures using FAISS, Chroma, Weaviate, and Pinecone with seamless LangChain integration. Web Frameworks: Building scalable APIs and microservices with FastAPI, Flask, and enterprise-grade platforms using Django ORM. Cloud & DevOps: Deploying robust GenAI and IoT applications on Azure (AI, IoT Hub, Cognitive Services) and AWS (SageMaker, Lambda, ECS). MCP Server Architectures: Developing and deploying modular, scalable AI services using MCP (Microservice Control Plane) patterns for cloud-based and edge computing environments. Data Engineering: Proficient in NumPy, Pandas, and data wrangling pipelines for model-ready preprocessing and analytics. 🚀 Key Projects: LLM + RAG Optimization with Microsoft Collaborated on advanced RAG pipelines for real-time intelligent Q&A systems and knowledge retrieval, integrating enterprise data sources into LangChain workflows. GenAI Automation Systems Designed and deployed custom GenAI solutions for content generation, document summarization, and domain-specific assistants using LangChain, OpenAI, and embeddings. AI Cloud Deployment Deployed and monitored large-scale AI apps using containerized microservices on Azure Kubernetes Service (AKS) and AWS ECS/Fargate, with full observability via cloud-native tooling. 🔍 Passionate about mentoring teams, contributing to open-source AI, and pushing the boundaries of what's possible with modern Python, LLMs, and scalable AI infrastructure.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in AI and IoT solutions.

Location: Bengaluru, Karnataka, India

Experience: 8 yrs 2 mos

Skills

Generative Ai
Web Development
Api Development
Iot Solutions
Education

Career Highlights

Expert in Generative AI and LLMs.
Proficient in building scalable web applications.
Strong background in cloud deployment and IoT solutions.

Work Experience

Confidential

Technical Lead / Ai Engineer / Backend Developer / Python Developer (3 yrs 7 mos)

Triton Electric Vehicle, LLC

Senior Software Engineer (3 mos)

Versil

Software Engineer (1 yr 1 mo)

vvp

Assistant (3 yrs 5 mos)

Education

at Indian Institute of Technology, Madras

Master of Engineering - MEng at Pandit Deendayal Energy University

Bachelor of Engineering - BE at VVP Engineering College - India

Pratik A.

Product Manager

Bengaluru, Karnataka, India8 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Generative AI and LLMs.
Proficient in building scalable web applications.
Strong background in cloud deployment and IoT solutions.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in AI and IoT solutions.

Contact

Skills

Core Skills

Generative AiWeb DevelopmentApi DevelopmentIot SolutionsEducation

Other Skills

ADCAWSAlgorithmsAmazon Web Services (AWS)AzureAzure IoT HubC (Programming Language)C++CANData StructuresDatabricksDebuggingDjangoDjango REST FrameworkDocker

About

Experience

Confidential

Technical Lead / Ai Engineer / Backend Developer / Python Developer

Aug 2022 – Present · 3 yrs 7 mos · Greater Bengaluru Area · On-site

Collaborating with Microsoft on an innovative project leveraging advanced AI techniques, including Large Language Models (LLMs) from OpenAI and Retrieval-Augmented Generation (RAG).
Designing and implementing Proof of Concepts (POCs) that enhance retrieval processes and improve generation quality using LLMs, RAG
Demonstrating the potential of cutting-edge AI technologies in real-world applications.
Technical Skills:
Programming Languages: Python 3 (including all versions)
AI Techniques: LLM, RAG, MultiAgent, Embeddings, LangGraph
Frameworks: Flask, Django
Data Science Libraries: NumPy, Pandas, Matplotlib
APIs: REST API, OpenAI API,FAST API
Cloud Services: Azure, AWS
Web Technologies: HTTP Methods, Bootstrap
Web Scraping Libraries: Selenium,scrapy
Version Control: Git, GitHub (including GitHub Actions)
Databases: PostgreSQL, MySQL
Containerization & Tools: Docker, JIRA, Notion, Slack
Quality Assurance: IP Quality Assurance experience

PythonLLMRAGLangChainFlaskDjango+6

Triton electric vehicle, llc

Senior Software Engineer

May 2022 – Aug 2022 · 3 mos · Ahmedabad, Gujarat, India · On-site

As a Senior Software Engineer, I played a pivotal role in the development and optimization of a robust REST API, using Flask and Python, to facilitate seamless data exchange and file storage for the company’s proprietary electric vehicle product.
Key Contributions:
API Development: Engineered a high-performance REST API using Flask and Python, streamlining data processing and file management for end-users.
Docker Implementation: Leveraged Docker for containerization, enhancing the deployment process and ensuring consistency across development and production environments.
Optimization and Maintenance: Continuously maintained and optimized the API, ensuring reliability and efficiency for daily user data processing.
Secure File Storage: Implemented secure file storage solutions on AWS, prioritizing data integrity and user privacy.
Collaboration: Worked closely with cross-functional teams to align technical solutions with business needs and user requirements.

FlaskPythonDockerAWSAPI Development

Versil

Software Engineer

Jun 2021 – Jul 2022 · 1 yr 1 mo · On-site

As a Software Developer on a six-member team, I contributed to a cutting-edge project aimed at enhancing the reliability of industrial pumps through predictive maintenance strategies. Utilizing Azure’s IoT capabilities, we developed an integrated system to monitor and analyze pump performance.
Key Contributions:
IoT Data Collection: Leveraged Azure IoT Hub to gather real-time sensor data from pumps, ensuring comprehensive data collection for analysis.
Python Development: Developed Python scripts executed in Azure Functions to preprocess and store sensor data in Azure Data Lake Storage, enabling efficient data handling and storage.
Advanced Analytics: Utilized Databricks with PySpark to analyze the collected data, implementing machine learning models through Azure Machine Learning to predict potential pump failures.
Proactive Maintenance: Scheduled maintenance tasks based on predictive insights, improving operational efficiency and reducing downtime for industrial pumps.
Integration: The project integrated Azure’s IoT capabilities with Python for data processing and advanced analytics, allowing for proactive maintenance strategies that significantly enhanced the reliability of pump operations.

AzurePythonIoTDatabricksMachine LearningIoT Solutions

Vvp

Assistant

Dec 2017 – May 2021 · 3 yrs 5 mos · Rajkot, Gujarat, India · On-site

Teaching Assistant Role:
In addition to my engineering responsibilities, I served as a Teaching Assistant, providing guidance and lessons in Python and IoT to fellow engineers. This role involved:
Delivering instructional sessions on Python programming and IoT applications, emphasizing practical and hands-on learning.
Assisting in project-based learning, where students applied theoretical concepts to real-world IoT scenarios.
Supporting engineers in troubleshooting and refining their projects, fostering a collaborative and educational environment.
I played a key role in developing an ERP system designed to streamline employee management for the organization. This web-based solution facilitated efficient handling of employee information, ensuring seamless access and updates.

PythonTeachingERP SystemsEducation