Prajwal Nagesh

Software Engineer

Bengaluru, Karnataka, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Developed AI-driven applications with high accuracy.
Hands-on experience with data engineering and backend systems.
Strong focus on scalable and maintainable solutions.

Stackforce AI infers this person is a Backend-focused Software Engineer with strong expertise in AI and Data Engineering.

Contact

Skills

Core Skills

Data EngineeringSqlLarge Language Models (llm)FastapiArtificial Intelligence (ai)Deep LearningMachine LearningQa EngineeringEmbedded SystemsFirmwareRobotics

Other Skills

Extract, Transform, Load (ETL)Data Build Tool (DBT)Python (Programming Language)GitPostman APISAP ERPRetrieval-Augmented Generation (RAG)Agentic aiPostgreSQLApplication Programming Interfaces (API)MongoDBGenerative AI ToolsLangChainWav2Vec2.0Streamlit

About

I’m a Software Engineer with experience in building backend systems and data-driven applications using Python and modern frameworks. I have a strong focus on designing reliable APIs, integrating data pipelines, and developing scalable services that support real-world product requirements. I’ve worked on projects involving data processing, analytics, and AI-enabled features, including building backend services with FastAPI, developing interactive dashboards with Streamlit, and integrating machine learning models into production workflows. I’m comfortable working across the software stack from clean API design and database integration to performance optimization and deployment. I bring a practical engineering mindset, prioritizing clarity, maintainability, and measurable impact over complexity. I’m interested in Software Engineer roles with a strong data component, including backend development, data platforms, or product-focused engineering teams. Tech Stack: Python, FastAPI, Streamlit, MongoDB, PyTorch, TensorFlow, Scikit-learn, SQL Target Roles: Software Engineer, Data Science, AI/ML Engineer, Embedded software engineer. Currently Open To: Full-time roles or internships focused on shipping dependable systems and working with data at scale. Let’s connect if you’re hiring or building something ambitious.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Clear

Integration Engineer Intern

Jul 2025 – Feb 2026 · 7 mos · Bengaluru · On-site

In this role, as an engineer, I have been involved across the end-to-end integration lifecycle, collaborating closely with internal teams and external stakeholders to gather, analyze, and translate business requirements into scalable technical solutions.
I work with enterprise ERP systems (SAP ECC & SAP S/4HANA) as upstream data sources, enabling reliable, compliant, and scalable analytics pipelines. My work includes designing, developing, and deploying data integrations using SQL and dbt, while ensuring high data quality through effective data cleansing, mapping, and transformation processes.
A key part of my responsibilities involves supporting SAP ECC and SAP S/4HANA environments, handling data extraction, validation, and integration to ensure accurate downstream analytics and reporting. I actively troubleshoot and resolve integration issues, conduct thorough testing to ensure solution accuracy, and maintain clear, well-structured technical documentation.
Strong communication is central to my role, as I regularly coordinate with customers and stakeholders to ensure alignment and successful delivery. I take full ownership of integration projects from initiation through deployment, while continuously staying up to date with emerging tools, technologies, and best practices to drive efficiency and performance.
I’m excited about the opportunity to contribute to the Clear (ClearTax) team and further strengthen my hands-on expertise in Python, SQL, MS Excel, and SAP ECC/SAP S/4HANA.

Extract, Transform, Load (ETL)Data Build Tool (DBT)SQLPython (Programming Language)GitArtificial Intelligence (AI)+4

Equilibrate.ai

Software Engineer Intern

Apr 2025 – Jul 2025 · 3 mos · Bengaluru · Remote

During my time as an Software Engineer, I worked closely with the founding members and contributed to the development of a multi-turn conversational chatbot using LangChain, OpenAI, and LLaMA. The focus was on creating a more natural, context-aware user experience. I worked on integrating Retrieval-Augmented Generation (RAG) with vector search powered by MongoDB, which helped improve both the relevance and efficiency of the chatbot’s responses. I also helped build a scalable backend using FastAPI to ensure smooth performance. In addition, I evaluated tools like Sarvam AI, ElevenLabs, Whisper, and Google TTS to implement multilingual voice capabilities across more than 10 languages, aiming to make the chatbot more inclusive and accessible. This project gave me hands-on experience with LLMs, NLP pipelines, and scalable AI systems.

Large Language Models (LLM)Retrieval-Augmented Generation (RAG)Agentic aiPython (Programming Language)FastAPIPostgreSQL+3

Zephyra

AI/ML engineer Intern

Feb 2025 – Mar 2025 · 1 mo · India · Remote

As an engineer, I lead the team of 3. Designed and implemented a multilingual speech therapy and pronunciation training tool tailored for individuals with autism. Using Wav2Vec2.0, I achieved 92% speech-to-text accuracy, enabling precise transcription during therapy sessions. I built a phoneme-level pronunciation analyzer with Coqui TTS/VITS, reaching 88% accuracy in evaluating speech clarity. To make the experience interactive, I integrated LangChain with the Gemini chatbot for real-time conversational practice. I also developed a clean, user-friendly front-end UI and deployed the project via Streamlit dashboards, which led to a 90% increase in user engagement. The platform supports English, Hindi, making it accessible for audience.

Artificial Intelligence (AI)Generative AI ToolsLangChainDeep LearningMachine LearningWav2Vec2.0+4

Coding jr

Artificial Intelligence Researcher Intern

Nov 2024 – Feb 2025 · 3 mos · India · Remote

Conducted AI research and actively contributed to projects focused on innovative technology development. Designed and tested AI models, demonstrating strong problem-solving, analytical thinking, and attention to detail. Delivered high-quality work within deadlines while collaborating effectively with the team and excelling independently. Recognized for innovation, initiative, and a strong learning mindset—enhancing both project outcomes and team knowledge-sharing efforts.

Artificial Intelligence (AI)Data AnalysisMachine LearningResearch and Development (R&D)Team Collaboration

Peoplebox

Quality Assurance Automation Engineer Intern

Sep 2024 – Oct 2024 · 1 mo · Bengaluru, Karnataka, India · On-site

During my internship as a QA Engineer, I gained hands-on experience in developing and automating test cases using JavaScript with Playwright to validate platform functionality, performance, and reliability. I collaborated with development and product teams to identify, document, and resolve issues, while also designing and executing test plans and scenarios for both manual and automated testing. This role allowed me to strengthen my understanding of QA processes, adhere to industry best practices, and contribute to improving the overall testing framework.

JavaScriptQA AutomationQA Engineering

Felifeed

Firmware and Hardware Developer Intern

Jun 2024 – Aug 2024 · 2 mos · Bengaluru · Hybrid

As a Firmware and Hardware developer, I gained hands-on experience building and integrating robotics and embedded systems for innovative prototypes, strengthening my expertise in hardware-software integration, firmware development, and real-time troubleshooting. I collaborated across disciplines to solve complex engineering challenges, sharpened my project coordination skills, and applied core ECE principles to develop intelligent, automated systems, preparing me to contribute immediately to cutting edge engineering projects.

ArduinoEmbedded CESP32 MicrocontrollersEmbedded SystemsFirmwarePython (Programming Language)+1

Emagesoft

Software Engineer (Machine Learning) Intern

Jan 2024 – Apr 2024 · 3 mos · Bengaluru, Karnataka, India · On-site

As a developer I developed and integrated a real-time 2D mapping and localization system using the RPLIDAR A1M8 R6 sensor and the RViz Hector SLAM framework. This involved writing Python scripts to interface with the LiDAR, process raw sensor data, and ensure smooth communication with the Hector SLAM pipeline. To improve performance in dynamic environments, I applied deep learning models for object detection, semantic segmentation, and environmental classification, significantly enhancing mapping accuracy and localization robustness. I also validated and benchmarked the system using the KITTI dataset, conducting extensive experimentation to assess real-world effectiveness. Through this project, I gained practical expertise in ROS, SLAM algorithms, LiDAR data processing, and computer vision techniques, laying a strong foundation for developing advanced autonomous systems.

Python (Programming Language)Robot Operating System (ROS)SLAMDeep LearningMachine LearningRobotics