Vigneshwar Balamurugan

Professional Summary

Results-oriented Software Engineer with a Bachelor’s in Electronics & Communication Engineering (8.9 CGPA, Focus on Computer Science) and hands-on experience in production backend services, AI RAG pipelines, and embedded sensor systems. Experienced at Cognizant building enterprise AI automation microservices and leading backend squads, combined with corporate international project collaboration at Robert Bosch (collaborating with Bosch Headquarters in Germany and training plant logistics departments). Proficient in Java, Spring Boot, Python, PostgreSQL, and Data Structures & Algorithms (172 LeetCode problems solved, Top 35% global ranking).

Technical Skills

Programming Languages: Python, Java (Java 21, Core Java), C, C++, SQL, JavaScript, HTML5/CSS3.

Backend & Data Systems: Spring Boot 3, FastAPI, REST APIs, PostgreSQL, pgvector, Firebase, Relational Database Design.

Data Structures & Algorithms: DSA, OOPs, Complexity Analysis, A* Search, Finite State Machines (FSM), Multi-threading.

AI & Analytics: Retrieval-Augmented Generation (RAG), LangChain, Dense & BM25 Hybrid Retrieval, KNIME Analytics (L3 Certified).

Embedded Hardware: ESP32, BMP180, LoRa Transceivers, Thermoelectric Generators (TEG), Bluetooth/BLE, Sensor Interfacing.

Tools & DevOps: Docker, Docker Compose, Linux CLI, Git, GitHub, VS Code, JIRA, Agile / Scrum.

Work Experience

COGNIZANT TECHNOLOGY SOLUTIONS Chennai, India

Programmer Analyst / Software Engineer Aug 2025 – Present

Production AI RAG Pipeline: Contributed as core backend engineer developing LLM-driven RAG pipelines for enterprise client support workflows, replacing repetitive manual tasks with vector-indexed contextual retrieval.
Upcoming Project Leadership: Selected to lead the architecture, development, and delivery of a new RAG AI system for our healthcare client account (Philips).
Vehicle Insurance Platform (Team Lead): Completed intensive 3-month foundational training in Java, Spring Boot, and DBMS; elected to lead a squad of 6 engineers to build an enterprise vehicle insurance platform with AES-256 payload encryption and 100% SonarQube quality gate compliance.
Containerized Microservices: Packaged distributed services using Docker and Linux, establishing automated CI/CD quality checks and semantic release versioning.

ROBERT BOSCH AUTOMOTIVE ELECTRONICS Bangalore, India

Project Intern — Automotive Electronics Jul 2024 – Aug 2024

Departmental Hands-On Training: Conducted live, hands-on training sessions for the LOI (Logistics & Industrial Engineering) Department on KNIME analytics and RPA pipelines, saving 4 manual man-hours monthly (~20% operational efficiency gain).
Collaboration with Bosch Headquarters (Germany): Collaborated directly with teams at Bosch Headquarters in Germany to compile, analyze, and benchmark plant logistics carbon emissions (CO2 data).
Executive Leadership Presentation: Synthesized emission analysis into an executive deck and delivered the presentation directly to the Department Head and 8 Lead Managers.

Key Projects

Standalone Forest Fire Early Detection System [GitHub ↗] ESP32 · TEG Energy Harvesting · LoRa

Engineered an autonomous environmental monitoring node using Thermoelectric Generators (TEG) to harvest ambient forest heat into electrical power, minimizing wilderness battery maintenance.
Interfaced an ESP32 microcontroller with multi-parameter fire sensors and LoRa transceivers for long-range, event-driven emergency fire alerting.

TPMS 4.0: Tire Pressure Monitoring System [GitHub ↗] ESP32 · BMP180 · Bluetooth · Android · Cloud

Developed an embedded telemetry unit using an ESP32 microcontroller and BMP180 sensor to monitor tire pressure and temperature for heavy coal dumpers.
Streamed real-time telemetry over Bluetooth to a custom Android application and centralized cloud web dashboard for proactive fleet safety monitoring.

Intelligent Resume Parser & Hybrid Search Engine [GitHub ↗] Java 21 · Spring Boot 3 · PostgreSQL · pgvector

Architected a high-concurrency hybrid search engine combining exact BM25 keyword matching with pgvector cosine similarity, maintaining sub-100ms P95 query turnaround.
Implemented thread-safe connection pooling and optimized indexing across large datasets.

Edge-Deployed Industrial Safety Engine (AI Agent) [GitHub ↗] Python · YOLOv8 · FastAPI · Docker Compose

Engineered multi-stream computer vision software for real-time worker PPE detection and hazardous factory zone compliance.
Containerized the inference pipeline with Docker Compose; core algorithmic detection and microservice API verified in software.

Education

MEENAKSHI SUNDARARAJAN ENGINEERING COLLEGE Chennai, India

Bachelor of Engineering (B.E.) — Electronics & Communication (Focus on CS) · Minor in Entrepreneurship Graduated 2025

CGPA: 8.9 / 10 | Elected Class Representative for ECE Department (All 4 Years)

Relevant Coursework: Data Structures & Algorithms, Object-Oriented Programming, Database Management Systems, Microprocessors, Embedded Systems, Computer Communication Networks.

Honors, Certifications & Leadership

LeetCode Problem Solving: 172 algorithmic problems solved; Top 35% global ranking; qualified Amazon technical assessment rounds.

Google GDG Game Dev Challenge: Winner / Top-ranking AI agent implemented with optimized A* pathfinding and deterministic Finite State Machines (FSM).

Event Leadership: Led and organized 2 major college symposiums, including leading the Pranav2k24 technical symposium website and competitions.

Team Lead (Cognizant): Elected to lead a team of 6 engineers during the Java/Spring Boot vehicle insurance application development.

National Cadet Corps (NCC): 'A' Certificate holder — recognized for operational discipline, teamwork, and resilience.

Professional Certifications: Harvard CS50 (Python & SQL) | KNIME Analytics Platform L3 Proficiency ($200 Certified) | EF-SET C1 Advanced English.