Sai Gangadhar Potluri

Sai Gangadhar Potluri

Aspiring Software Developer | Python Engineer | Data Analyst

IIT Bhubaneswar Graduate | Building Stateful Backend Software & Data Solutions

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About Me

I am an Electrical Engineering graduate from **IIT Bhubaneswar** with a strong logical background and real-world experience in operations, client systems, and analytical workflows.

Driven by a deep interest in software systems and structural automation, I am transitioning into software engineering and data analytics. My focus centers on writing clean Python architectures, relational SQL systems, optimized algorithms, and reliable backend application states.

Technical Skills

Python 3
SQL (SQLite/PostgreSQL)
FastAPI / Flask Frameworks
Data Structures & Algorithms (DSA)
Object-Oriented Programming (OOP)
Git & GitHub Control
JSON Data Serialization
Pandas Data Analysis
Power BI Analytics
MATLAB / Simulink

Professional Experience

UNext Learning

Sr Business Development Executive

Mar 2025 - Jan 2026

Unacademy

Business Development Associate

Mar 2024 - Aug 2024

Hygiene Big Bites

Kitchen Manager (Operations & Logistics)

Oct 2023 - Feb 2024

OPTCL Internship

Power Systems Analytics & Data Handling

B.Tech Training Sequence

Engineered Projects

Solo Capstone: Solar Tracker using MPPT (MATLAB)

Independently designed and simulated a physical solar energy extraction optimizer utilizing the Perturb and Observe (P&O) Maximum Power Point Tracking algorithmic matrix. Modeled feedback loops completely from scratch to evaluate photovoltaic cell responses under fluctuating atmospheric irradiance profiles.

Technologies: MATLAB, Simulink, MPPT Control Logic, Feedback Systems

📊 Full-Stack Personal Finance & Analytics Ledger

Developed and deployed a multi-user, stateful web platform designed to track transaction arrays. Features include user session protection via cryptographic hashing, automated analytical budgeting insights, dynamic transaction logs, and stream processing engines for CSV data exports. Integrated with an interactive client-side ledger simulator dashboard.

Technologies: Python, Flask, SQLAlchemy ORM, SQLite3, Python ZoneInfo, HTML5/CSS3, Render Cloud Layer

🗂️ Flashcard & Spaced-Repetition Studio

Engineered an algorithmic active recall testing interface built strictly upon Object-Oriented Programming (OOP) principles. Implemented a localized version of the Leitner Spaced-Repetition System to graduate data mastery boxes based on performance intervals. Features an interactive web-based database architecture layout previewer to demonstrate transactional tables.

Technologies: Python 3, OOP Blueprinting, JSON File Serialization, Array Manipulations, HTML5/CSS3 Companion Engine

☀️ SolarMatrix Analytics Hub

Engineered a high-throughput IoT telemetry ingestion pipeline built to process high-frequency solar array fields. Utilizes an asynchronous, non-blocking worker pool design to eliminate database write-locks and scale network I/O capacity. Features an active processing rule engine for live hardware fault detection and an interactive moving line-chart analytics interface.

Technologies: FastAPI, Asynchronous Python, SQLite In-Memory Shared Thread-Pools, Chart.js, HTML5/CSS3

🌐 Digital Clickstream & User Behavior Analytics Engine

Engineered an end-to-end data analytics and engineering pipeline that simulates, cleans, and sessionizes high-velocity website event logs. Implemented automated ETL scripts to handle real-world anomalies like event deduplication and categorical log imputation. Built an interactive BI dashboard to map multi-step user conversion journeys, successfully isolating a ~72% drop-off friction bottleneck at the cart checkout phase.

Technologies: Python 3, Pandas, ETL Pipeline Design, Streamlit Cloud, Plotly Express, Git Version Control

Current Technical Focus

API Engineering & Web Frameworks

Moving from basic server routes to building robust RESTful APIs, implementing middleware, validation systems, and managing external web integrations.

Advanced Relational Database Design

Transitioning from standard queries to schema architecture optimizations, structural indexing patterns, transaction safety locks, and deep multi-table joins.

Data Structures & Interview Problem Solving

Strengthening complex computational logic and execution speeds by practicing daily algorithm arrays, focusing on search, sort, strings, and matrix processing.

Get In Touch

I am actively looking for software engineering roles, internships, and collaborative development opportunities. Let's connect!