AI-Driven Solutions: Engineering LLM, RAG, & ML pipelines for 98% accuracy and 50% productivity gains.
"I'm Harikrishnan V, an innovative Machine Learning Engineer specializing in transforming complex data into streamlined, AI-driven business solutions. My mission is to engineer systems that deliver measurable, high-impact results, moving projects from concept to production with speed and precision.
My core expertise is in three high-value domains:
Generative AI & RAG: I develop custom Retrieval-Augmented Generation (RAG) chatbots and Autonomous AI Agents that directly impact efficiency. For example, I recently built a RAG/LLM chatbot that boosted developer productivity by 50% and improved error detection by 70%.
Scalable ML Pipelines: I architect production-ready ML solutions for predictive modeling, utilizing models like XGBoost and LightGBM. My work in cost estimation achieved a 98% accuracy rate while reducing process time by 60% by leveraging robust Python/SQL/NoSQL data pipelines and FastAPI for real-time inference.
TinyML/Edge AI: I am skilled in optimizing machine learning for constrained environments, successfully deploying models onto microcontrollers like the ESP8266 (NodeMCU). This focus on efficiency resulted in a 1875% optimization in hardware resource use and a 50,000% reduction in power consumption on a recent project.
I am passionate about applying advanced technology—from LLMs to low-power embedded systems—to solve real-world problems and deliver significant ROI.
Work Terms
Hours of Operation
I generally operate during Monday through Friday. I am committed to project deadlines and can arrange calls outside of these Days to align with client (e.g., US or Europe) when necessary for critical meetings.
Communication Style
My preferred communication is primarily through Slack/Email for asynchronous updates and documentation. I use Google Meet or Zoom for weekly planning, milestone reviews, and technical deep-dives. I promise to be responsive, clear, and proactive in identifying and flagging potential roadblocks.
Payment Terms
Hourly Projects: Billed weekly, with detailed time logs provided for transparency. Payment expected within 7 days of invoice submission.
Fixed-Price Projects: Payment is structured based on milestones (e.g., 25% upon contract signing, 50% upon Alpha testing, 25% upon final deployment). All contracts require a small upfront deposit to begin work.