AI Engineer · Hyderabad, India

Krushnakanta Mohakud

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

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

About

Profile

I'm a Senior AI Engineer with over five years of experience building production systems for enterprise recruitment and talent platforms. My work spans large language models, retrieval-augmented generation, and agentic AI — architecting pipelines that hold up under real recruiter workloads, not just demos.

I specialize in MLOps and Python backend engineering: taking a model from notebook to a monitored, scalable service on GCP's Vertex AI, AWS, or Azure. I care about explainability as much as accuracy — the systems I build are meant to be trusted by the people using them.

  • LLM & RAG system design
  • Agentic AI orchestration
  • Vector & graph search
  • Model deployment & monitoring

Skills

Technical toolkit

GenAI

  • LLMs
  • Transformers
  • NLP
  • Agentic AI
  • RAG
  • MCP
  • LangChain
  • LangGraph
  • AutoGen
  • Vertex AI
  • Embeddings
  • AI Foundry

Backend & cloud

  • Python
  • FastAPI
  • REST APIs
  • Redis
  • Microservices
  • GCP
  • AWS
  • Azure
  • CI/CD for ML
  • Model monitoring

Vector & graph DB

  • OpenSearch
  • Pinecone
  • Qdrant
  • Neo4j
  • AWS Neptune

ML libraries

  • PyTorch
  • TensorFlow
  • scikit-learn
  • pandas
  • NumPy

Frontend

  • React.js
  • Next.js
  • JavaScript
  • TypeScript

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

    Python · OpenSearch · e5-small embeddings · FastAPI · Hugging Face · LangChain · MS AutoGen · AI Foundry

    • Led design and development of an enterprise-scale AI candidate search and ranking platform using vector search and LLM-driven pipelines for high-volume recruiter workflows.
    • Moved from NLP-only matching to a hybrid architecture combining boolean filters, vector similarity, and agent-driven reasoning — improving search precision and explainability.
    • Architected and productionized end-to-end RAG pipelines with LangChain and OpenSearch, sharpening contextual relevance of search results.

    Agentic Interview Feedback & Evaluation Platform

    Python · LLMs · OpenSearch · Sentence Transformers · LangChain · MS AutoGen

    • Built an AI-driven feedback system where specialized LLM agents independently evaluate technical skill, communication, and role alignment from interview transcripts, then reach consensus-based scoring.
    • Added human-in-the-loop review so interviewers can approve, edit, or override AI feedback — cutting documentation effort by ~30% while improving decision confidence.

    Smart Email Campaign Optimization System

    Python · scikit-learn · FastAPI

    • Built a campaign performance pipeline over historical email data — open rate, click-through rate, send time, and user segment.
    • Implemented Logistic Regression and Random Forest classifiers to predict open and click likelihood.
    • Designed a template scoring mechanism from subject length, keyword presence, send time, and past performance.

  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.

Projects

Selected work

AI-Powered Candidate Search Engine

Python · OpenSearch · FastAPI · LangChain

Designed an OpenSearch cluster to unify candidate data for vector-based similarity search, integrating all-MiniLM-L6-v2 embeddings for skill-to-title matching.

Skill Similarity Engine (POC)

Python · scikit-learn · React

Prototyped an algorithm to score skill overlap between resumes and job descriptions, then wired the results into iRecruit's React UI — boosting recruiter efficiency by 25%.

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.