Hello, I'm

Ram Srikar Putcha

Software Engineer & Data Scientist

I transform complex data into actionable insights and build innovative solutions that solve real-world problems.

Just skip to viewing my Resume instead xD

Resume
Ram Srikar Putcha

About Me

I'm a passionate Aspiring Software Engineer/Data Scientist with a love for problem-solving and building efficient solutions.

With expertise in software development and data science, I bring a unique blend of technical skills and analytical thinking to every project. I'm dedicated to creating efficient, scalable solutions that make a real impact.

My journey in tech started with a degree in Computer Science with Cyber Physical Systems. From thereon I went to complete two internships, one with Ford Motors where I developed a love for LLMs. So, currently I'm purusing my Masters in Computer Science from Northeastern University, Boston. I've worked on everything from web applications to complex data pipelines and machine learning models.

When I'm not coding, you can find me exploring new technologies, contributing to open-source projects, or finding out new places to explore and chill xD

2+

Professional Experiences

9+

Completed Live Projects

My Skills

Programming Languages

Python

JavaScript

Java

SQL

R

HTML/CSS

Data Science & ML

Machine Learning

Data Visualization

Neural Networks

Data Processing

Big Data

NLP

Tools & Technologies

AWS

Docker

LLMs

Snowflake

MongoDB

Hadoop

My Experience

2023 (May-July)

Backend Sofware Intern

Ford Motors Pvt. Ltd.

Developed a Virtual Coach Bot integrated with Webex as part of Ford's Transformation office initiative, serving as a comprehensive resource for PDO and Agile practices, resulting in 30% increased user interaction rates.

Python TensorFlow AWS Spark SQL
2022 (May - July)

Cloud Computing Intern

Winfo Solutions Pvt. Ltd.

Was repsonsible for and implemented customized Multi-Factor Authentication solutions in Oracle Cloud Infrastructure, improving security protocols and reducing unauthorized access attempts by 40%.

Python Airflow Kafka PostgreSQL Docker

My Projects

Project 1

PDF Scraping Comparison - Open-Source vs. Enterprise Solutions for PDF Processing & Web Scraping

An interactive tool that compares the performance of open-source and enterprise solutions for PDF processing and web scraping for large-scale analysis.

Azure AI Doc Intelligence PymuPDF FastAPI AWS S3

PDF Scraping Comparison

Open-Source vs. Enterprise Solutions for PDF Processing & Web Scraping

View on GitHub
Project 2

Automated CO2 Emissions Data Pipeline

A scalable ETL pipeline that automates CO2 emissions data ingestion, transformation, and loading processes for real-time analytics.

Snowflake Snowpark UDFs Stored Procedures

Data Pipeline Automation

Scalable and fault-tolerant data pipelines for real-time analytics

View on GitHub
Project 3

LLM-Powered Document Summarization and Q&A Web App

A Large-Language Model Powered Streamlit app that analyzes huge documents,PDF summarization and Q&A, enhancing document processing efficiency by 70%.

FastAPI LiteLLM Redis Docker

LLM-Powered Document Summarization and Q&A Web App

Advanced LLM tools to summarise and analyse docs

View on GitHub
Project 4

AplaciaConnect

A centralized platform for bone marrow donation with AI-based donor-patient matching. The platform connects donors and patients to facilitate bone marrow transplants, leveraging AI to improve match accuracy and streamline the donation process.

Amazon S3 Streamlit Java Core

AplaciaConnect

Scalable donor-patient matching platform with AI-based Algorithms.

View on GitHub
Project 5

Microsoft Stock Time-Series Analysis

A time-series analysis of Microsoft stock prices using ARIMA and LSTM models to predict future stock prices.

AWS IoT Kinesis Lambda React

Microsoft Stock Time-Series Analysis

Developed a SARIMAX Model to predict the daily closing rate differentials of Microsoft Stock.

View on GitHub
Project 6

Automated SEC Financial Data Pipeline

Built an end-to-end automated pipeline to extract, validate and store SEC financial data in Snowflake, reducing manual processing time by 80%. Developed FastAPI services for data ingestion and query execution, with a Streamlit interface enabling seamless dataset selection and structured data extraction.

PyTorch Flask Docker AWS

Automated SEC Financial Data Pipeline

Automated pipeline for extracting, validating, and storing SEC financial data in Snowflake.

View on GitHub

Contact Me

Get In Touch

Feel free to reach out to me for any questions, opportunities, or just to say hello. I'm always open to discussing new projects and ideas.

Email

ramsrikarputcha2002@gmail.com

Phone

+1 (857) 693 2074

Location

Boston, MA