Harish R

Software Engineer

Chennai, Tamil Nadu, India2 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Generative AI and Machine Learning applications.
Proven track record in building scalable AI solutions.
Strong background in full-stack development and automation.

Stackforce AI infers this person is a Machine Learning Engineer specializing in Generative AI and full-stack development.

Contact

Skills

Core Skills

Generative AiMachine LearningWeb ApplicationsFull-stack Development

Other Skills

Bootstrap (Framework)Cascading Style Sheets (CSS)Chainlit UICommunicationComputer ScienceCore JavaData StructuresDatabase Management System (DBMS)DockerEngineeringFastAPIFlaskGRUGitGithub API

About

𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐀𝐈/𝐌𝐋 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 | 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 As Software Engineer (AI/ML), I am passionate about designing and developing Generative AI applications, implementing RAG systems, and fine-tuning LLMs on custom domains and datasets to meet real-world business requirements. I enjoy finding opportunities to automate processes using AI, transforming complex workflows into intelligent, efficient, and scalable solutions. My Core: ✔ Building conversational LLM applications and Generative AI systems ✔ Implementing RAG techniques and various approaches for accurate, context-aware responses ✔ Fine-tuning LLMs on custom domains and datasets to meet business requirements ✔ Designing end-to-end ML pipelines that are scalable and production-ready ✔ Automating workflows using AI to make processes smarter, faster, and more efficient 𝑇𝑟𝑦𝑖𝑛𝑔 𝑡𝑜 𝑓𝑖𝑛𝑒-𝑡𝑢𝑛𝑒 𝑚𝑦𝑠𝑒𝑙𝑓 𝑑𝑎𝑦 𝑏𝑦 𝑑𝑎𝑦, 𝑗𝑢𝑠𝑡 𝑙𝑖𝑘𝑒 𝑡ℎ𝑒 𝑚𝑜𝑑𝑒𝑙𝑠 𝐼 𝑤𝑜𝑟𝑘 𝑤𝑖𝑡ℎ : )

Experience

2 yrs 9 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 yrs 9 mos

Current Experience

National technology centre for ports, waterways and coasts (ntcpwc)

2 roles

Software Engineer (AI/ML)

Promoted

Sep 2024 – Present · 1 yr 9 mos

✓ Built Sagarbot, a GenAI chatbot (FastAPI, Docker, LangGraph, OpenAI LLMs) with best accuracy in data queries for India’s governance portal.
✓ Integrated text-to-SQL, corrective RAG, Qdrant vector DB, and Chainlit UI, enabling Excel exports, chat history, and interactive Plotly charts.
✓ Developed ML models (XGBoost, LSTM, GRU) to predict evaporation, water levels, and bromine concentration, improving forecasting accuracy by 30%.
✓ Delivered a Flask-based web app with interactive dashboards for real-time predictions and data visualization.
✓ Optimized backend pipelines and caching strategies, reducing report latency by 65% and enhancing user experience.

FastAPIDockerLangGraphOpenAI LLMstext-to-SQLQdrant vector DB+8

Junior Software Engineer

Sep 2023 – Sep 2024 · 1 yr

✓ Built a hybrid mobile app (IONIC, ReactJS, Node.js, MySQL) to streamline port operations, cutting manual reporting by 40%.
✓ Automated port workflows with Python, reducing processing time by 60% and boosting accuracy.
✓ Created a storm surge prediction portal with IMD for the 2023 Chennai cyclone, aiding disaster response.
✓ Delivered a dredging monitoring system with dashboards, saving 100+ man-hours/month in compliance tracking.

IONICReactJSNode.jsMySQLPythonFull-Stack Development

Pantech.ai

Machine Learning Intern

Aug 2022 – Aug 2022 · 0 mo

✓ Explored and implemented supervised & unsupervised ML algorithms, gaining hands-on expertise in regression, classification, and clustering.
✓ Built multiple prediction and recommendation systems using Python, scikit-learn, and TensorFlow.
✓ Applied reinforcement learning techniques and developed interactive Python-based games to test algorithms in simulated environments.
✓ Strengthened understanding of feature engineering, model evaluation, and hyperparameter tuning through real-world datasets.

supervised learningunsupervised learningregressionclassificationclusteringPython+3

Coding blocks

Coding Evangelist

Sep 2020 – Jun 2022 · 1 yr 9 mos · Remote

Engaged with leading tech speakers and mentors at Coding Blocks, gaining insights into industry practices.
Collaborated with peers on problem-solving and coding challenges, fostering teamwork and knowledge sharing.
Strengthened coding proficiency while exploring emerging technologies and modern development tools.