Akash Kumar

Akash Kumar

+•• ••••• •••••••••••@•••••.com

Senior Software Engineer – AI/LLM Applications · HCLTech · 5.4 yrs

As a Senior Software Engineer specializing in AI/LLM applications, I am driven by a logical and pragmatic approach to mastering complex challenges. I take accountability for delivering innovative, high-quality solutions, collaborating effectively to achieve ambitious goals and drive impactful technological advancements.

  • Delhi
  • Open to Noida · Gurgaon · Bangalore
  • Remote, Hybrid, On-site

Ask about Akash

Skills

Claimed

Semantic SearchRe-rankingDocument ChunkingEmbedding GenerationTeamworkProblem SolvingProduct DevelopmentTechnical Solution DesignProject ExecutionModel Performance ImprovementGradient DescentLoss Function Optimization

Proof of Experience

HCLTech

Senior Software Engineer – AI/LLM Applications

HCLTech · Jan 2024 – Present

  • Engineered LLM-powered applications for telecom debugging and automation
  • Built a LangGraph multi-agent system for telecom log analysis, reducing debugging time by 40%
  • Designed RAG pipelines covering ingestion, embeddings, retrieval, and generation
  • Developed LLM orchestration for prompt handling, retrieval, and response processing
  • Built a Prompt Injection Firewall using ML/DL, semantic detection, risk-based policies, and LLM-assisted threat assessment
  • Implemented PASS / SANITIZE / BLOCK decisions with provenance and audit tracking
  • Optimized semantic search using Pinecone and ChromaDB
  • Deployed AI services using FastAPI, Docker, Kubernetes, and GCP/Vertex AI
HCLTech

Software Engineer – Python Automation & Data Analysis

HCLTech · Jan 2022 – Jan 2024

  • Developed Python-based automation tools for 4G/5G protocol testing (RRC/NAS), reducing manual testing effort
  • Automated telecom test scenarios in simulator environments, improving efficiency and reliability
  • Built data preprocessing pipelines using Pandas and NumPy for large-scale log analysis
  • Designed tools for log parsing, validation, and reporting to support debugging workflows
  • Analyzed large datasets to detect anomalies and improve system performance
  • Collaborated with cross-functional teams to troubleshoot and resolve production issues

Machine Learning Training

Indian Institute of Technology, Kharagpur · Jun 2021 – Aug 2021

  • • Engaged in comprehensive learning of Machine Learning fundamentals, Mathematics, and Statistics.
  • • Developed clustering models tailored for e-commerce customer segmentation to enhance targeted marketing strategies.
  • • Gained hands-on experience in both supervised and unsupervised learning methodologies.
Indian Institute of Technology, Kanpur

Python Programming Training

Indian Institute of Technology, Kanpur · May 2021 – Jun 2021

  • • Completed an intermediate-level Python programming training at the Indian Institute of Technology Kanpur.
  • • Gained hands-on skills in data analysis utilizing libraries such as Pandas and NumPy.
  • • Developed a solid understanding of data structures, algorithms, and object-oriented programming concepts.
  • • Enhanced problem-solving abilities through practical applications and coding exercises.
CETPA Infotech Pvt. ltd.

Machine Learning Intern

CETPA Infotech Pvt. ltd. · Jun 2020 – Aug 2020

  • • Gained practical experience in machine learning through hands-on projects using Python programming.
  • • Experimented with various ML algorithms on hospital datasets to detect diseases in patients.
  • • Collaborated with a team at CETPA Infotech Pvt.
  • Ltd., a leading tech company in Noida, to enhance healthcare analytics.
GeeksforGeeks

Problem Solving

GeeksforGeeks · Nov 2019 – Dec 2019

  • https://auth.geeksforgeeks.org/user/hitmanmit1996/practice/

Machine Learning Training

CETPA InfoTech · May 2018 – Jun 2018

  • Built customer segmentation models using K-means and hierarchical clustering to analyze user behavior
  • Performed data cleaning, transformation, and feature extraction using NumPy and Pandas
  • Conducted exploratory data analysis and visualization using Matplotlib
  • Evaluated model performance and accuracy using metrics like silhouette score and confusion matrix to optimize clustering results
  • Deployed trained models into local environments to demonstrate real-time data predictions and insights

Proof-of-Work

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Proof of Education

B.Tech, Computer Science & Engineering

Moradabad Institute of Technology (MIT) · 2018 — 2022

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