Ashok Kantamreddy

Ashok Kantamreddy

+•• ••••• •••••••••••@•••••.com

Artificial Intelligence Engineer · PCB Apps (Pentafour Group) · 4.6 yrs

As an AI Engineer, my ambition drives me to continuously explore and master complex challenges in artificial intelligence. I approach problem-solving with a logical and determined mindset, fueled by a deep curiosity to innovate and build robust, cutting-edge solutions.

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

Ask about Ashok

Skills

Claimed

Work Planning and PrioritizationConcurrent Workflow ImplementationLLM Application IntegrationVector Database UsageClaude DesignLarge Language Model ConceptsModel Selection Trade-Off AnalysisRedis Cache ImplementationStreaming Data RetrievalLow-Latency System OptimizationLLM Cost OptimisationCost-Saving Initiative Management

Proof of Experience

Artificial Intelligence Engineer

PCB Apps (Pentafour Group) · Jul 2026 – Present

  • Engineered a Python data-transformation pipeline that parses legacy XSLT stylesheets and translates them into equivalent JSON/Python mappings, eliminating manual rewriting of legacy XML transformation logic.
  • Architected an automated validation layer that regression-tests every converted mapping for output parity against the original transformation pre-release, reducing post-migration data-fidelity defects.
  • Developed scalable backend services and PostgreSQL schemas against a Supabase data layer, converting business requirements from product and engineering stakeholders into deployable components under compressed timelines.

Artificial Intelligence Engineer

PCB Apps (a NOBL Q Company) · Jul 2026 – Jul 2026

Accenture

Application Development Analyst

Accenture · Sep 2023 – Jul 2026

Accenture

Artificial Intelligence Engineer

Accenture · Sep 2023 – Jul 2026

  • Developed and deployed production Generative AI and Machine Learning solutions in Python for banking and logistics clients, using Azure OpenAI (GPT-4o) and Azure AI Foundry.
  • Built stateful, multi-agent Artificial Intelligence workflows in LangGraph (Lang Graph) — shared state, conditional edges, retry and fallback paths, and tool-calling nodes — orchestrating end-to-end reasoning across analysis, generation, and validation agents.
  • Used LangChain (Lang Chain) extensively for chains, retrievers, memory, output parsers, and custom tool integrations, standardizing reusable components across multiple AI products.
  • Designed and optimized RAG models (Retrieval-Augmented Generation): embedding generation, semantic chunking, hybrid retrieval (BM25 + cosine similarity), re-ranking, and grounding guardrails over Azure AI Search, FAISS, Pinecone, and Chroma.
  • Collected and analyzed large amounts of structured and unstructured data — enterprise documents, tickets, and transaction records — building ingestion and preprocessing pipelines that fed retrieval and model training workflows.
  • Applied machine learning techniques including classification, clustering, and embedding-based semantic similarity for document routing, intent detection, and retrieval-quality improvement.
  • Evaluated machine learning processes and the effectiveness of AI through systematic experimentation — LangSmith tracing and scoring, offline evaluation sets, groundedness/precision/recall metrics — and fine-tuned prompts, retrieval parameters, and model selection against the results.
  • Benchmarked LLMs across providers for accuracy, cost, and latency, and deployed selected AI algorithms as containerized FastAPI microservices on Docker and Kubernetes (AKS) with GitHub Actions CI/CD.
  • Managed data and project infrastructure — vector store indexing and refresh jobs, Azure Cosmos DB state persistence, environment configuration, and release pipelines — ensuring reproducible deployments.
Accenture

Application Development Associate

Accenture · Apr 2022 – Sep 2023

Accenture

Application Developer

Accenture · Apr 2022 – Sep 2023

  • Deployed and maintained cloud infrastructure on AWS (EC2, ELB, Auto Scaling, CloudWatch); built monitoring dashboards and CI/CD foundations later applied to AI/ML workload delivery.
  • Automated operational and data-handling tasks with Python scripting; managed source control, branching, and release workflows with Git and GitHub.
  • Collaborated in Agile sprints with cross-functional engineering teams on rapid iteration, stakeholder communication, and production release management.

Proof-of-Work

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

Proof of Education

Bachelor of Science - BS, Statistics

Adikavi Nannaya University, Rajahmundry, East Godawari · 2016 — 2019

Bachelor of Science - BS, Mathematics and Statistics

Adikavi Nannaya University, Rajahmundry, East Godawari · 2016 — 2019

Bachelor of Science, Statistics

Samhitha Degree College · 2016 — 2019

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