Swapnil Kunjir

AI Engineer

Pune, IN.

About

Highly skilled AI Engineer with 4+ years of experience in developing scalable AI and machine learning solutions using Python, Generative AI, and cloud platforms (Azure, AWS). Proven expertise in RAG systems, LLM fine-tuning, and end-to-end AI platform development, with a strong track record of delivering high-impact enterprise AI applications and leading technical initiatives.

Work

CCTECH PVT LTD

|

Senior Member of Technical Staff

Pune, Maharashtra, India

→

Summary

Led end-to-end AI/ML solution development and client engagement, driving architectural decisions and feature implementation for enterprise AI applications.

Highlights

Spearheaded client interactions and project leadership for multiple AI/ML projects, ensuring successful delivery and stakeholder alignment.

Designed and implemented robust system architectures and core logic for scalable AI/ML solutions, including GenAI and RAG systems.

Mentored junior engineers and interns in AI, ML, Python, and cloud technologies, fostering team growth and technical capability.

Automated cloud infrastructure deployment using Terraform scripts for Azure/AWS, streamlining delivery pipelines and improving efficiency.

Recognized as a "Unicorn Team of Quarter 2 of 2023-2024" and "Champion of the month September 2024" for outstanding contributions.

CCTECH PVT LTD

|

Member of Technical Staff

Pune, Maharashtra, India

→

Summary

Developed and optimized machine learning models for client projects, ensuring high accuracy and efficient deployment while adhering to best coding practices.

Highlights

Optimized the speed of deployed machine learning models by 90% through strategic enhancements, significantly boosting performance.

Successfully delivered multiple client Proof-of-Concepts (POCs) within tight weekly deadlines, demonstrating rapid development and impact.

Developed and trained Supervised and Unsupervised ML algorithms to achieve desired client accuracies and domain expertise.

Conducted extensive Exploratory Data Analysis (EDA) to ensure dataset balance and quality, utilizing various tools for robust data preparation.

Engineered clean, maintainable, scalable, and performance-efficient code, adhering to best practices for modularity and reusability.

Education

MIT-WPU

Pune, Maharashtra, India
→
M.Sc. Statistics

IGNOU

Pune, Maharashtra, India
→
P. G. Diploma Applied Statistics

Fergusson College

Pune, Maharashtra, India
→
B.Sc. Statistics

Awards

Champion of the Month

CCTECH PVT LTD

Honored for outstanding individual performance and significant impact within the organization during September.

Unicorn Team of Quarter 2

CCTECH PVT LTD

Recognized as a top-performing team for exceptional contributions and collaborative achievements within the quarter.

Languages

English

Skills

Artificial Intelligence & Machine Learning

RAG Systems, LLM Fine-tuning, Generative AI (Gen AI), Agentic AI, Machine Learning (Classification, Regression), Deep Learning, Computer Vision, Natural Language Processing (NLP), Anomaly Detection, Hypothesis Testing, Time Series Analysis.

Cloud Platforms & DevOps

Azure, AWS, Docker, Kubernetes, Terraform, Azure DevOps, Cloud Deployment, Infrastructure as Code.

Programming & Data

Python, SQL, Rest API, Git Version Control, Statistics, Exploratory Data Analysis (EDA), Data Modeling, PowerBI.

System Design & Architecture

System Design, Solution Architecture, Architectural Decisions, Core Solutioning, Enterprise AI Applications.

Project Management & Client Relations

Client Handling, Stakeholder Communication, Project Flow Initialization, POC Management, Project Delivery, Mentoring, Team Leadership.

Projects

AI Design Validation Tool

Summary

Developed an AI platform converting engineering design standards and best practices into automated validation rules, integrated with CAD tools like Siemens NX, to enable early detection of design violations and improve overall design quality and efficiency.

Advanced Part Search

Summary

Built an intelligent search platform to help engineers identify alternative or equivalent components by analyzing structured part attributes and compatibility criteria within product lifecycle management systems (Siemens Teamcenter) and vendor websites.

POC AI Vision Anomaly Detection

Summary

Designed an AI-driven system to analyze video streams (live or uploaded) for semantic frame-level behavior analysis, identifying key frames, and supporting ad-hoc behavioral and temporal querying.

AI Troubleshoot (RAG based root cause analysis)

Summary

Demonstrated the feasibility and efficiency of using local Large Language Models (LLMs) to automate data extraction from multiple reports for root cause analysis, synthesizing insights and generating hypotheses.

Swapnil Kunjir