Hi, I am

Gautam Naik

Software Engineer, AI & ML

About Me

Machine Learning Engineer with 6 years of dedicated AI/ML and Data Science expertise, backed by 9 years of overall software engineering experience. I leverage a strong foundation in Supervised, Unsupervised Learning, Deep Learning, Natural Language Processing, and MLOps to develop innovative AI solutions. Complementing this, I am proficient in cloud architecture (AWS Lambda, CDK, Docker) and robust backend development (Python, FastAPI, DynamoDB) to build and deploy scalable, production-ready AI/ML systems.

My key achievements include boosting e-commerce profits by 15% through AI/ML systems for sales forecasting and inventory optimization, alongside reducing bounce rate by 70% with deep learning text summarization. I have also significantly impacted operations by accelerating recruitment by 60% and reducing recruiter workload by 50% using cutting-edge Generative AI applications (Langchain, LLMs) for CV evaluation and interview automation, all while ensuring scalability and cost-effectiveness through proficiency in serverless microservices on AWS (CDK, Lambda, DynamoDB, API Gateway).

I am passionate about applying my combined expertise in ML and Data Science to drive impactful, scalable solutions and bridge the gap between software engineering and AI-driven innovation. If you're seeking a versatile engineer with a strong product mindset and a passion for machine learning, let's connect!

Experience

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Curriculum Vitae

Education
Contact
Links
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Name
Position
Intro
Skills
Projects
Experience

Checkout my CV

Skills

Data Science, AI & ML
Professional
Expertise
Supervised & Unsupervised Learning • Time Series Forecasting • Deep Learning • NLP • Gen AI • Business Intelligence
Tools
Python • Pandas • NumPy • Scikit-learn • PyTorch • SQL • Tableau • PySpark • SparkML
MLOps & Cloud
Professional
Expertise
ETL Pipelines • Model Deployment • Experiment Tracking • Cloud Architecture • CI/CD • Serverless Computing
Tools
AWS CDK • AWS Lambda • SQL • Docker • MLflow • AWS SageMaker • Airflow
Fullstack Dev
Professional
Expertise
API Design • Serverless Applications
Technologies
Python • FastAPI • AWS CDK • AWS Lambda • Node.js • ReactJS • NextJS
Databases
DynamoDB • MySQL

Blogs

Aspect Based Sentiment Analysis

Aspect Based Sentiment Analysis

May 20, 202529 min read
A case study project highlighting the techniques and methods used to implement Aspect Based Sentiment Analysis using Deep Learning.
Sales Forecasting

Sales Forecasting

Jan 31, 202536 min read
Case study on sales forecasting utilizing machine learning algorithms and time series models. It includes exploratory data analysis, hypothesis testing, feature engineering and model deployment.
Automated Trading System

Automated Trading System

Dec 29, 20237 min read
Case study of my automated trading system. This post will walk through the process of building the system, the components and technologies used, how it works, and the challenges faced.

Projects

Gen AI QnA Bot with Memory

Gen AI QnA Bot with Memory

This app allows users to upload multiple PDF documents and interactively ask questions, receiving answers along with relevant source citations and also remembering the context of the conversation.

Role
ML Engineer
Technology
Streamlit, LangChain, LLM
Sales Forecasting

Sales Forecasting

This application predicts the driver churn rate for a ride-sharing company using machine learning algorithms.

Role
Data Scientist and ML Engineer
Technologies Used
LightGBM, Optuna, Pandas, Numpy, Scikit-learn, Seaborn
Automated Trading System

Automated Trading System

This system scans daily market data to generate trade signals, automatically places orders, and saves trade data to a database.

Languages
Python, Javascript, React
Technology
AWS Lambda, DynamoDB, Pandas, Numpy

Timeline

Some Role
Your Company
You decide
  • Any development and data related task
Senior Software Engineer (AI & ML)
Kaara Tech
Jan 2024 - Present
  • Architected and delivered an end-to-end agentic AI application (LangGraph) that can analyse multiple therapy session notes, generate scores for mental health assessments and visualise progress over time.
  • Designed and implemented a full-stack Gen AI solution using Lagchain that accelerated recruitment by 60% through automated CV evaluation.
  • Led the development and deployment of an LLM-based interview conducting bot using Langchain to rate candidate answers, which lessened the workload of the recruiting team by 50%.
Lead Software Engineer (Data & ML)
Grassdoor
April 2017 - Dec 2023
  • Drove a 15% increase in company profit by architecting and deploying scalable AI/ML systems for sales forecasting and inventory optimisation, spearheading the company's transition to a data-driven operational model.
  • Significantly boosted cross-category sales and reduced bounce rate by 70% through the development of AI-powered product recommender systems and a deep learning text summarisation model (PyTorch) for enhanced product descriptions.
  • Engineered cost-effective, scalable serverless microservices on AWS (CDK, Lambda, DynamoDB, API Gateway) to support critical business operations and data analytics.
  • Enhanced business intelligence and operational insights by developing robust sales analytics dashboards with optimised SQL queries.
  • Mentored and scaled the engineering team, recruiting, training, and supervising 7 developers to improve overall team efficiency significantly.
  • Partnered with the UX team to resolve critical user experience issues (e.g., cart abandonment, signup drop-offs) using Google Analytics data, increasing sales and user engagement.
Frontend Developer
Genora Infotech
August 2015 - March 2017
  • Designed and launched websites for small and medium-sized businesses, using technologies such as Angular Material, HTML, CSS, Bootstrap UI, and JavaScript, which resulted in increased sales and reach.
  • Handled UI/UX design for mobile and web apps using Adobe Creative Cloud and other wireframing tools.
  • Designed banners, infographics, magazines and other promotional materials for the company using a variety of design tools like Photoshop, Indesign, Illustrator which resulted in increased awareness about the company on social media.
Computer Engineer
PCCE College
June 2011 - May 2015
  • Studied various programming languages.
  • Made a game as final year project using Unity 3D engine.
  • Participated in various hackathons.
Student
Mushtifund School and College
Dont Remember - May 2011
  • Studied science, maths and some languages.
  • Participated in various quiz competitions.
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Declaration

I declare that the information given above is genuine & correct to the best of my knowledge.

Let's Talk

I am always on the lookout for new and exciting opportunities. Drop an email if you have something exciting to share and I'll try my best to get back to you!
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