Yogesh Murugan

Yogesh Murugan

+•• ••••• •••••••••••@•••••.com

Data Scientist / Senior AI Engineer · Tredence Inc. · 4.3 yrs

As a Data Scientist and Senior AI Engineer with nearly five years of experience, I am driven by a strong ambition to master complex challenges and deliver impactful, data-driven solutions. My approach is highly logical and pragmatic, ensuring accountability and resourceful problem-solving to achieve determined outcomes.

  • Bangalore
  • Open to Bangalore
  • Remote, Hybrid
  • In 30 days

Ask about Yogesh

Skills

Claimed

MSchema UsageMAC Framework UsageCHESS Framework UsageCHS Framework UsageAI Platform Architecture DesignSoftware Quality AssuranceBackend DevelopmentFront-end DevelopmentProject ExecutionIdea pitchingProject ReviewData Calculation

Proof of Experience

Tredence Inc.

Data Scientist / Senior AI Engineer

Tredence Inc. · Sep 2025 – Present

  • Architected an OTLP-based distributed tracing gateway on FastAPI, asyncio and grpcio receiving traces across agents, APIs and MCP servers.
  • Built a pipeline for PII redaction (credentials, cards, emails), rule-based error detection and dual-tier storage in PostgreSQL and ADLS Gen2 Delta Lake.
  • Integrated Arize Phoenix for LLM span inspection, latency dashboards and automated evaluations for hallucination, toxicity and relevance.
  • Developed an end-to-end Text-to-SQL application with LangGraph, LangChain and Azure OpenAI to convert natural language into executable SQL.
  • Orchestrated agents: Intent Classifier, Date Standardizer, Entity Matching, Divide-and-Conquer Reasoning, CoT Refiner and SQL Fixer, with schema RAG retrieval and LangSmith tracing.
  • Built an enterprise AI agent execution engine in Python 3.10+ using Hexagonal Architecture.
  • Routed requests via Azure Service Bus to Databricks-hosted Anthropic Claude with Unity Catalog tools, streaming real-time responses to Web and Teams via Azure Web PubSub.
fxis.ai

AI Engineer

fxis.ai · Apr 2025 – Sep 2025

Data Scientist

Optirise Softwares · Apr 2023 – Apr 2025

  • Developed a hybrid classifier using Regex, BERT and DeepSeek LLM, achieving 99% accuracy.
  • Implemented anomaly detection routines and statistical feature engineering to optimize classification speed and context understanding for enterprise log streams.
  • Built a Query Agent with FastAPI, Weaviate and GPT-4 featuring dynamic retrieval depth (top_k = 10 / 40 / 120) and chunked summarization.
  • Engineered a chunked summarization fallback pipeline with direct answer extraction and vector deduplication to deliver contextual responses without token limit errors.
JSpiders - Training & Development Center

Python full stack development

JSpiders - Training & Development Center · Mar 2022 – Dec 2022

Proof-of-Work

No completed sessions yet. Anything Yogesh finishes shows up here with the evidence behind it.

Proof of Education

B.E., Computer Science Engineering

Bharathidasan Engineering College, Tamil Nadu · 2018 — 2022

Certification, Python Full Stack Development

PySpiders · 2022 — 2023

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