AI Engineer · Hyderabad, India

Krushnakanta Mohakud

I build production-grade GenAI and ML systems — RAG pipelines, agentic AI, and MLOps at enterprise scale — across AWS, Azure and GCP.

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Experience
5+ years
Focus
LLMs · RAG · Agentic AI · MLOps
Based in
Hyderabad, India

About

Profile

Senior AI Engineer and Technical Lead with 5+ years of experience building production-grade GenAI and ML systems across GCP (Vertex AI), AWS, and Azure. Currently leading an AI engineering team responsible for designing and delivering enterprise-scale GenAI, RAG, and Agentic AI solutions for large-scale talent acquisition and recruitment platforms.

I specialize in technical architecture, task planning, code reviews, and mentoring engineers while driving stakeholder collaboration across cross-functional teams. My focus is end-to-end delivery — from system design and LLM integration to production deployment and monitoring. I care about explainability and reliability as much as performance.

  • GenAI & LLM system architecture
  • RAG & Agentic AI design & orchestration
  • Technical leadership & team mentoring
  • Vector search & semantic retrieval
  • Production ML deployment & MLOps
  • Cross-functional stakeholder collaboration

Skills

Technical toolkit

GenAI & Agentic AI

  • Large Language Models (LLMs)
  • Transformers
  • Natural Language Processing (NLP)
  • Agentic AI
  • Retrieval-Augmented Generation (RAG)
  • Model Context Protocol (MCP)
  • Multi-Agent Systems
  • LangChain
  • LangGraph
  • AutoGen
  • Vertex AI
  • Embeddings
  • Azure AI Foundry
  • OpenAI
  • Anthropic models
  • Open-source LLMs
  • Fine tuning
  • k-NN / Vector Similarity Search

Vector DB & Graph DB

  • OpenSearch
  • Pinecone
  • Qdrant
  • Neo4j

ML Libraries & Data Processing

  • PyTorch
  • scikit-learn
  • pandas
  • NumPy
  • Hugging Face

Backend & Cloud

  • Python
  • FastAPI
  • REST APIs
  • Redis
  • Microservices
  • GCP (Vertex AI)
  • AWS
  • Azure
  • Model Deployment
  • CI/CD for ML
  • Model Monitoring

DevOps

  • Docker
  • Jenkins

Experience

Career log

  1. 06/2021 — Present

    Senior Software Engineer, AI/ML

    GlobalLogic — assigned to iCIMS (Talent Acquisition Platform)

    Continuous role, with a brief direct-hire transition at iCIMS.

    AI-Powered Candidate Search & Agentic Ranking Platform

    LangGraph · OpenSearch · intfloat/e5-small embeddings · FastAPI · MCP · Python

    • Led a cross-functional AI engineering team to architect, develop, and productionize enterprise GenAI, RAG, and Agentic AI solutions for the iCIMS Talent Acquisition platform using LangGraph, OpenSearch, intfloat/e5-small embeddings, FastAPI, MCP, and Python.
    • Modernized candidate search from traditional keyword matching to a hybrid retrieval and RAG architecture combining boolean filters, vector similarity, and agent-driven reasoning, significantly improving search precision, contextual relevance, and explainability.

    Agentic AI Career Job Recommendation Chatbot

    Python · FastAPI · LLMs · LangGraph · OpenSearch · Embeddings

    • An AI-powered career chatbot enabling candidates to discover relevant job openings through natural language conversations, reducing manual job search effort by approximately 40%.
    • Built a semantic job matching pipeline comparing candidate skills, experience, job titles, and preferences against indexed job descriptions and required skills using vector search, improving relevant job discovery by approximately 25% over keyword-only matching.
    • Designed a LangGraph-based multi-agent workflow for candidate intent understanding, profile extraction, job retrieval, eligibility validation, semantic ranking, and personalized recommendation generation.

  2. 09/2020 — 06/2021

    Associate Software Engineer

    K12 Techno Services — Bangalore, Karnataka

    • Scalable ERP modernization: spearheaded core modules — online classes, finance, and role management — to scale digital education for 10,000+ users.
    • Assessment & engagement engine: delivered a high-concurrency e-learning portal with automated homework and assessment modules, lifting student engagement by 25% amid a drop in remote participation.

Live Projects

AI products in action

ATS Score Analyzer

Python · Gradio · e5-small-v2 · DeepSeek-R1 · ZeroGPU

  • Built a deterministic scoring engine that evaluates resume-to-job alignment and highlights the most impactful missing keywords, skill gaps, and role-fit mismatches.
  • Created an agentic rewrite loop where the LLM proposes a better bullet, the same deterministic scorer re-rates the result, and the workflow repeats until the score improves enough to be accepted.
  • Designed a user-friendly Gradio interface for instant resume analysis and optimization, with a free, no-API-key experience for end users.

Live demo →

Education

Academics

08/2015 — 05/2019

B.Tech, Electronics and Telecommunication

Biju Pattnaik University of Technology, Bhubaneswar, Odisha

Relevant coursework: Algorithms, Databases, OOP, Cloud Computing.

Certificates

  • How Transformer LLMs Work — DeepLearning.AI
  • Vector Databases: From Embeddings to Applications — DeepLearning.AI
  • Embedding Models: From Architecture to Implementation — DeepLearning.AI
  • MCP: Build Rich-Context AI Apps — DeepLearning.AI / Anthropic

Recognition

Achievements

  • Oct 2024

    Won the company-wide Hackathon on GenAI — iCIMS

  • Jul 2022

    Spotlight Award, Outstanding Contribution — GlobalLogic

  • Jan 2021

    Spotlight Award, Timely Delivery of Projects — K12 Techno Services

Contact

Let's talk

Open to conversations about GenAI systems, MLOps, and agentic AI — reach out any time.