Anant Sharma
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Anant Sharma

Software Engineer

  • 9 proven skills
  • @virtuoso-04
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  • StatedRésumé

    AgentGuard

    Vendor-agnostic multi-agent AI system (OpenAI, Anthropic, Gemini, Ollama) with Planner, Navigator, Validator agents on distributed systems; 61 integration tests, 25-payload adversarial corpus; identified 3 critical-severity vulnerabilities via object-oriented design and severity scoring
  • StatedRésumé

    Amazon Product Classifier

    Offline benchmark: TF-IDF + SVM (96.5% accuracy) vs. LLM few-shot classifier (Gemini 1.5 Flash) on Amazon ML Challenge 2023; algorithm design and complexity analysis across 36 categories with relational database storage
  • StatedRésumé

    Data Engineer Intern @ Amazon – IN Stores Tech (Merlin BI Platform, 200+ business teams)

    Built MDDQ, a scalable fault-tolerant DQ pipeline on AWS running 410+ daily checks; eliminated 2–4 hrs/domain/day of manual validation across 3 domains, catching a live incident with 314 hrs of data staleness before it reached 200+ teams. Engineered adaptive threshold engine with 10 scoring methods; built AI Onboarding Agent cutting new domain setup from 1–2 weeks to 15 min; collaborated cross-functionally in agile sprints. Built ASTOR, an end-to-end SQL validation framework using AST parsing (sqlglot) + LLM semantic diff; 239 unit tests, 28-rule DynamoDB library, object-oriented design; eliminated zero-validation gap between LLM-generated ETL and production deployment. Implemented IAM STS AssumeRole chaining for cross-account Redshift access across 3 AWS accounts; integrated Amazon Bedrock (Claude) for AI root cause analysis with automated SES alert routing to 12 dataset owners.
  • StatedRésumé

    Software Engineering Intern @ Dolze.ai

    Architected scalable AI content platform using FastAPI microservices and object-oriented design with Google Gemini LLMs; shipped in agile sprints, improving workflow efficiency by 40% and feature adoption by 25%. Built REST APIs for multi-tiered distributed systems, automated testing pipelines, and production telemetry dashboards to monitor model performance across teams.
  • StatedRésumé

    Software Engineering Intern @ Emmetra Technologies

    Engineered scalable image processing pipeline in Python and C++ with parallel computing and algorithm optimization, reducing latency by 40% across 100+ images; benchmarking harness tracked memory and compute via data structures and complexity analysis.
  • StatedRésumé

    Vice President, E-Cell MSRIT

    led 12-member team, events reaching 3,000+ students
  • StatedRésumé

    SAP Hackfest 2024: Top 50

    AI energy forecasting, 90% accuracy
  • StatedRésumé

    IIT-BHU 2024: Finalist

    ML campus navigation
  • StatedRésumé

    AWS Certified AI Practitioner (AIF-C01)

    Certification
  • StatedRésumé

    AWS Academy Cloud Foundations

    Certification

What Anant can prove

Proven Unproven

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INTERVIEW-VERIFIED CAPABILITY (PROVEN)SELF-DECLARED STACK
GRAPH NODES: 51 · CONNECTIVITY FACTOR: 0.18
Skill constellation: 51 skills, 0 interview-verified.AGILEAI AGENTSALGORITHM DESIGNANOMALY DETECTIONAWS BEDROCKAWS CLOUDWATCHAWS DYNAMODBAWS EVENTBRIDGEAWS IAMAWS LAMBDAAWS REDSHIFTAWS S3AWS STEP FUNCTIONSBENCHMARKINGCC++CI/CDCOMPLEXITY ANALYSISCOMPUTER NETWORKSCSSDATA STRUCTURES & ALGORITHMSDBMSDISTRIBUTED COMPUTINGDISTRIBUTED SYSTEMSDOCKERFASTAPIFAULT-TOLERANT & SCALABLE SYSTEMSGITHTMLJAVAJAVASCRIPTJUPYTER NOTEBOOKLANGCHAINLANGCHAIN.JSLLMSMICROSERVICESMULTI-TIERED SYSTEMSOBJECT-ORIENTED DESIGNOFFLINE EVALUATIONOSPANDASPROMPT ENGINEERINGRAGRELATIONAL DATABASESREST APISSCIKIT-LEARNSQLSQLGLOTSYSTEM DESIGNTYPESCRIPTPYTHON
  • Agile: self-declared, 0 evidence items
  • AI Agents: self-declared, 0 evidence items
  • Algorithm Design: self-declared, 1 evidence items, linked to Project: Amazon Product Classifier
  • Anomaly Detection: self-declared, 0 evidence items
  • AWS Bedrock: self-declared, 0 evidence items
  • AWS CloudWatch: self-declared, 0 evidence items
  • AWS DynamoDB: self-declared, 0 evidence items
  • AWS EventBridge: self-declared, 0 evidence items
  • AWS IAM: self-declared, 0 evidence items
  • AWS Lambda: self-declared, 0 evidence items
  • AWS Redshift: self-declared, 0 evidence items
  • AWS S3: self-declared, 0 evidence items
  • AWS Step Functions: self-declared, 0 evidence items
  • Benchmarking: self-declared, 0 evidence items
  • C: self-declared, 0 evidence items
  • C++: self-declared, 0 evidence items
  • CI/CD: self-declared, 0 evidence items
  • Complexity Analysis: self-declared, 1 evidence items, linked to Project: Amazon Product Classifier
  • Computer Networks: self-declared, 0 evidence items
  • CSS: self-declared, 0 evidence items
  • Data Structures & Algorithms: self-declared, 0 evidence items
  • DBMS: self-declared, 0 evidence items
  • Distributed Computing: self-declared, 0 evidence items
  • Distributed Systems: self-declared, 1 evidence items, linked to Project: AgentGuard
  • Docker: self-declared, 0 evidence items
  • FastAPI: self-declared, 0 evidence items
  • Fault-tolerant & Scalable Systems: self-declared, 0 evidence items
  • Git: self-declared, 0 evidence items
  • HTML: self-declared, 0 evidence items
  • Java: self-declared, 0 evidence items
  • JavaScript: self-declared, 0 evidence items
  • Jupyter Notebook: self-declared, 0 evidence items
  • LangChain: self-declared, 0 evidence items
  • LangChain.js: self-declared, 1 evidence items, linked to Project: AgentGuard
  • LLMs: self-declared, 0 evidence items
  • Microservices: self-declared, 0 evidence items
  • Multi-tiered Systems: self-declared, 0 evidence items
  • Object-Oriented Design: self-declared, 1 evidence items, linked to Project: AgentGuard
  • Offline Evaluation: self-declared, 0 evidence items
  • OS: self-declared, 0 evidence items
  • Pandas: self-declared, 1 evidence items, linked to Project: Amazon Product Classifier
  • Prompt Engineering: self-declared, 0 evidence items
  • Python: self-declared, 2 evidence items, linked to Project: AgentGuard, Project: Amazon Product Classifier
  • RAG: self-declared, 0 evidence items
  • Relational Databases: self-declared, 0 evidence items
  • REST APIs: self-declared, 0 evidence items
  • Scikit-learn: self-declared, 1 evidence items, linked to Project: Amazon Product Classifier
  • SQL: self-declared, 0 evidence items
  • sqlglot: self-declared, 0 evidence items
  • System Design: self-declared, 0 evidence items
  • TypeScript: self-declared, 1 evidence items, linked to Project: AgentGuard

Shipped work

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Getting better, on the record

Proven skills over time — today marked in lime.

No scored sessions yet

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Career chronology

Gaps shown honestly — only what's on the record.

Trajectory timeline

  1. Data Engineer Intern

    Amazon – IN Stores Tech (Merlin BI Platform, 200+ business teams)

    2026-01-01 — 2026-06-01

  2. AWS Certified AI Practitioner (AIF-C01)

    2026-01-01

  3. Software Engineering Intern

    Dolze.ai

    2025-06-01 — 2025-09-01

  4. AWS Academy Cloud Foundations

    2025-01-01

  5. Software Engineering Intern

    Emmetra Technologies

    2024-11-01 — 2025-01-01

  6. SAP Hackfest 2024: Top 50

    2024-01-01

  7. IIT-BHU 2024: Finalist

    2024-01-01

  8. M S Ramaiah Institute of Technology Bengaluru, India

    Bachelor of Engineering

    2022 — 2026

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