janardhan reddy — AI Researcher

Passionate Large Language Model (LLM) Engineer with 5 years of hands-on experience building, fine-tuning, and deploying state-of-the-art generative AI and foundation models, backed by 13 years of overall experience in software engineering, machine learning, and DevOps. Currently specializing in: Fine-tuning and alignment of LLMs (Llama, Mistral, GPT-series, Gemma, etc.) using PEFT techniques (LoRA, QLoRA), RLHF, DPO, and custom datasets Productionizing LLMs at scale: inference optimization (vLLM, TensorRT-LLM, DeepSpeed), quantization (GPTQ, AWQ, bitsandbytes), and efficient serving MLOps & LLMOps pipelines: CI/CD for models, experiment tracking (MLflow, Weights & Biases), monitoring (Prometheus + Grafana), and canary/shadow deployments Big-data ML workflows with PySpark, Spark NLP, Databricks, and distributed training/inference on multi-GPU clusters End-to-end development of RAG architectures, agentic systems, evaluation frameworks (MT-Bench, AlpacaEval, custom LLM-as-Judge), and guardrail implementations Previously spent 8 years as a Senior Software & DevOps Engineer designing scalable microservices, cloud-native architectures (AWS, GCP, Azure), Kubernetes orchestration, and infrastructure-as-code (Terraform, Ansible). This unique blend of deep systems expertise and cutting-edge AI allows me to bridge the gap between research prototypes and reliable, high-performance production systems. Key technologies & tools I work with daily: Python, PyTorch, Transformers, LangChain, LlamaIndex, Haystack, Triton Inference Server, Ray, Spark, Airflow, Docker, Kubernetes, GitHub Actions, and most cloud ML platforms. Driven by the belief that LLMs will fundamentally reshape how humans interact with knowledge and software. Always excited to collaborate on ambitious GenAI projects, mentor junior engineers, or discuss the latest papers.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in AI and Data Science.

Location: Bengaluru, Karnataka, India

Experience: 13 yrs 2 mos