Vigneshwar Balamurugan
Software Engineer specializing in Production Backend Architecture (Java / Spring Boot, Python), High-Concurrency RAG & Data Pipelines, and Embedded Hardware Systems. Currently at Cognizant, with international project collaboration experience at Robert Bosch.
Core Software Craftsmanship & Hardware Roots
Background & Education
Graduated with a Bachelor’s in Electronics & Communication Engineering (8.9 CGPA, Focus on Computer Science) and a Minor in Entrepreneurship from Meenakshi Sundararajan Engineering College. My foundation bridges rigorous algorithmic computer science (172 LeetCode problems solved) with practical hardware comprehension — from event-driven energy harvesting microcontrollers (TEG + ESP32 + LoRa) to core object-oriented software engineering.
Professional Growth
At Cognizant, I contribute to production AI RAG automation microservices and have been selected to lead an upcoming RAG AI pipeline for our Philips healthcare client. During training, I led a 6-engineer squad delivering a Java/Spring Boot vehicle platform. At Robert Bosch, I trained the plant Logistics department on automation and collaborated with Bosch Headquarters in Germany on logistics carbon data, presenting outcomes directly to the Department Head and 8 lead managers.
Core Engineering Capabilities
Key architectural domains and systems I design, build, and maintain.
Production Backend & Concurrency
- Frameworks: Java (Spring Boot 3, Java 21) and Python (FastAPI).
- Design Principles: OOPs, RESTful API design, thread-safe request handling, and clean modular code.
- Quality & Security: AES-256 payload encryption, 100% SonarQube adherence, and automated unit testing.
Search, Databases & RAG Pipelines
- RAG Architecture: Retrieval-Augmented Generation using LangChain, pgvector, and LLM automation pipelines.
- Hybrid Retrieval: Combining BM25 keyword matching with dense cosine vector embeddings for sub-100ms queries.
- Databases: PostgreSQL schema modeling, indexing (B-Tree, HNSW), and connection management.
Data Structures & Algorithms (DSA)
- Competitive Coding: 172 LeetCode problems solved (Top 35% global ranking); qualified Amazon technical rounds.
- Graph & State Logic: Won Google GDG Challenge using A* pathfinding and deterministic Finite State Machines (FSM).
- Core Concepts: Dynamic Programming, Trees, Graphs, Two Pointers, Time & Space Complexity analysis.
Embedded & Sensor Systems
- Hardware Platforms: ESP32, microcontrollers, BMP180 barometric pressure sensors, and Bluetooth modules.
- Low-Power Telemetry: Event-driven LoRa communication and Thermoelectric Generator (TEG) energy harvesting.
- ECE Foundation: Microprocessor architecture, signal processing, sensor interfacing, and relay control circuits.
Professional Experience
Hands-on enterprise software engineering and corporate industrial collaboration.
Programmer Analyst / Software Engineer
Core engineer building AI-driven automation workflows and backend systems. Selected to lead the upcoming RAG pipeline initiative for an enterprise healthcare client.
- AI RAG Production Pipeline: Core team contributor developing LLM-powered RAG automation for client support workflows, replacing repetitive manual processing with vector-indexed retrieval.
- Upcoming Project Leadership: Slated and selected to lead the architecture and delivery of a new RAG AI system for our Philips healthcare client account.
- Vehicle Insurance Platform (Team Lead): Completed rigorous 3-month foundational engineering training in Java, Spring Boot, and DBMS; elected to lead a team of 6 engineers to build an enterprise vehicle insurance application featuring AES-256 encryption and 100% SonarQube compliance.
- Containerized Deployment: Packaged distributed services using Docker and Linux, establishing automated CI/CD checks and semantic versioning.
Project Intern — Automotive Electronics
Executed data analytics, workflow automation, and international cross-functional collaboration across automotive electronics plant operations.
- Departmental Hands-On Training: Conducted live, practical training sessions for the LOI (Logistics & Industrial Engineering) Department on KNIME analytics and RPA, enabling automated data workflows that eliminated 4 manual man-hours monthly (~20% operational efficiency gain).
- Collaboration with Bosch Headquarters (Germany): Collaborated directly with teams at Bosch German Headquarters to compile, analyze, and benchmark plant logistics carbon emissions (CO2 data).
- Executive Leadership Presentation: Synthesized emission analysis into an executive strategy deck and presented findings directly to the Department Head and 8 Lead Managers to support company sustainability targets.
Featured Projects
Hands-on applications spanning embedded hardware, hybrid search databases, and computer vision.
Standalone Forest Fire Early Detection System ↗
Autonomous environmental monitoring system engineered with Thermoelectric Generators (TEG), ESP32 microcontrollers, and LoRa transceivers. Uses thermal energy harvesting to power event-driven wakeups and long-range fire alerting without relying on frequent battery replacements in remote wilderness.
TPMS 4.0: Tire Pressure Monitoring System ↗
Real-time tire pressure and temperature telemetry solution built with an ESP32 connected to a BMP180 sensor, paired with a custom Bluetooth Android app, cloud data logging, and a centralized web dashboard for coal dumper fleet monitoring.
Intelligent Resume Parser & Hybrid Search Engine ↗
High-concurrency search pipeline built with Java & Spring Boot over PostgreSQL. Fuses exact relational indexing (BM25) with dense vector embeddings (pgvector) to deliver sub-100ms retrieval without blocking worker threads.
Edge-Deployed Industrial Safety Engine (AI Agent) ↗
Software prototype designed for factory safety compliance, detecting PPE compliance and hazard zones. Built with Python and YOLOv8, packaged as containerized microservices via Docker Compose ready for future hardware integration.
Technical Arsenal
Prioritized by hands-on production experience, engineering coursework, and verified tools.
Programming Languages
- Python: Hands-on production RAG pipelines, FastAPI, data extraction, and CS50 certified.
- Java: Core Java, Java 21, Spring Boot microservices, OOPs, multi-threading, trained at Cognizant.
- C & C++: Academic ECE coursework, microcontroller firmware, and embedded project development.
- SQL: Relational schema design, query optimization, joins, indexing, and CS50 certified.
- Web Basics: JavaScript, HTML5, CSS3, Streamlit interfaces.
Backend, Data & AI
- Frameworks: Spring Boot 3, FastAPI, REST APIs.
- Databases: PostgreSQL, pgvector, Firebase, Relational Database Design.
- RAG & AI: LangChain, vector retrieval (BM25 + Dense Vectors), LLM agent workflows, prompt tuning.
- Analytics: KNIME Analytics Platform (Level 3 Certified — $200 tier), RPA concepts.
CS Fundamentals & DSA
- Problem Solving: 172 LeetCode problems solved (Top 35% global ranking).
- Core Fundamentals: Data Structures & Algorithms, Object-Oriented Programming (OOP), System Design basics.
- Algorithms: A* Search, Finite State Machines (FSM), Sorting & Searching, Graph Traversals.
- Code Quality: Time & Space Complexity Analysis, Debugging, SonarQube compliance.
Embedded Systems & DevOps
- Embedded Platforms: ESP32, BMP180 sensor interfacing, LoRa modules, TEG energy harvesting.
- Protocols: Bluetooth / BLE, I2C, SPI, UART, LoRa communication.
- DevOps & Tools: Docker, Docker Compose, Linux CLI, Git, GitHub, VS Code.
- Practices: Agile / Scrum methodologies, sprint workflows, JIRA.
Verified Honors & Leadership
Competitive achievements, university leadership, and international certifications.
Competitive & Technical Honors
- Google GDG Game Dev Challenge Winner: Top-ranking AI agent implemented with optimized A* pathfinding and deterministic Finite State Machines (FSM).
- LeetCode Profile (172 Solved ↗): 172 algorithmic problems solved (Top 35% global ranking; qualified Amazon technical assessment rounds).
- Team GIGABIT Founder: Led technical project team to national finals at NIT and VIT-AP technical competitions (MURD project).
Leadership & Certifications
- Class Representative (All 4 Years): Elected student representative for the ECE department across all 4 undergraduate years.
- Technical Event Leadership: Led and organized 2 major college symposium events, including heading the Pranav2k24 technical symposium website and competitions.
- Team Lead (Cognizant): Led a team of 6 engineers to deliver a vehicle insurance platform with AES-256 encryption.
- NCC 'A' Certificate: National Cadet Corps recognized for discipline, teamwork, and operational resilience.
- Academic Distinction: 8.9 / 10 CGPA (ECE with CS Focus + Minor in Entrepreneurship).
- Certifications: Harvard CS50 (Python & SQL) · KNIME Platform L3 Proficiency ($200 Certified) · EF-SET C1 Advanced English.
Let's Connect for SDE & SWE Roles
Currently based in Chennai, India. Open to Software Development Engineer (SDE), Software Engineer (SWE), and Backend / Systems Engineering roles.