Portfolio

Aditya Pratap Singh Tomar

Building recruiter-ready software and ML systems with measurable outcomes.

Data Scientist | Software Engineer | MLOps Engineer

Built with measurable outcomes, clean execution, and production-minded engineering.

Aditya Pratap Singh Tomar
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Projects

Flagship Projects

My strongest software engineering and data science builds, with measurable outcomes.

Stock market forecasting with deep time-series models.

Built an end-to-end forecasting system over 1M+ market data points with automated retraining and 30% faster inference.

Time-SeriesTransformersMLOps
  • Feature-engineered forecasting pipeline for noisy financial signals
  • Automated evaluation, retraining, and drift checks
  • Deployment-focused optimization for low-latency serving

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Scoped to ForesightX: The Future Has Signals. We Decode Them.

Transformer-based classification and anomaly detection.

Achieved 91.3% F1 on MIT-BIH/PTB benchmarks with near real-time inference under 150ms per segment.

Deep LearningSignal ProcessingTransformers
  • Dual-model architecture for anomaly detection + rhythm classification
  • Custom ECG preprocessing and multi-label supervision
  • Inference path designed for clinical-style latency constraints

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Scoped to Deep ECG Signal Analysis

Adaptive AI interviews with resume-aware questioning and recruiter scoring.

Built a full hiring workflow that generates dynamic interview rounds, stores candidate responses, and produces recruiter-ready scored reports.

Generative AIBackend EngineeringRecruitment Automation
  • Generated resume and JD-aware interview questions with adaptive difficulty
  • Implemented end-to-end candidate workflow: apply, schedule, interview, and review
  • Produced sortable performance reports with question-answer logs and scoring

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Scoped to IntelliHire: AI-Driven Interviewer Platform

Dynamic Resume Portfolio App

Resume-to-portfolio workflow with job match and deploy-ready public pages.

Built a production-grade Next.js app with upload-edit-template-preview-deploy flow, autosave editing, and workflow-backed job match enhancement.

Full-StackProduct EngineeringLLM Workflow Integration
  • Implemented a step-based wizard from resume upload to portfolio deployment
  • Added split-screen live preview using a shared public portfolio renderer
  • Integrated n8n-first job match and resume enhancement with automatic fallback

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Scoped to Dynamic Resume Portfolio App

Experience

Trusted to ship AI systems

Roles focused on production ML, evaluation, and cross-functional delivery.

Lead Engineer

CatalyzeIQ Pvt. Ltd.

Jan 2026 - Present
  • Designing core backend services and AI-driven workflow architecture in a zero-to-one startup.
  • Collaborating with founders to define scalable systems, automation pipelines, and product direction.
  • Leading high-impact deliverables across engineering and data teams.
AI ArchitectureBackend ServicesAutomation PipelinesSystem Design

AI Research Intern

Suryavanshi Ventures Pvt. Ltd.

Aug 2025 - Sep 2025
  • Engineered AI-driven healthcare agents using LangGraph and LangChain, boosting startup growth by 15-20%.
  • Optimized backend workflows with FastAPI, SQLAlchemy, and Poetry, cutting API latency by 20%.
LangGraphLangChainFastAPISQLAlchemyPoetry

ML Intern

Priyam Innovations Pvt. Ltd.

Jun 2025 - Jul 2025
  • Built an AI-powered interview platform MVP with GPT-3.5 question generation (~80% relevance).
  • Implemented multi-modal sentiment analysis on 100+ interview transcripts and real-time video (~75% accuracy).
GPT-3.5OpenCVHuggingFaceSentiment Analysis

Skill Proof

Depth over buzzwords

Click a skill to review resume-backed evidence for software engineering and data science roles.

ML System Engineering

Designing end-to-end ML systems from data prep to production inference.

Evidence from 4 projects

Projects

  • ForesightX: The Future Has Signals. We Decode Them.

    Built an end-to-end forecasting system over 1M+ market data points with automated retraining and 30% faster inference.

  • Deep ECG Signal Analysis

    Achieved 91.3% F1 on MIT-BIH/PTB benchmarks with near real-time inference under 150ms per segment.

  • IntelliHire: AI-Driven Interviewer Platform

    Built a full hiring workflow that generates dynamic interview rounds, stores candidate responses, and produces recruiter-ready scored reports.

  • Student Lifestyle and Academic Performance Predictor

    Built a 2,000-record data science pipeline with feature engineering, cross-validation, and regression modeling.

Tools & Proof

PythonPyTorchPandasScikit-learnLangChain

Depth indicator

4 validated project examples with implementation details recruiters can verify.

Achievements

Signals of impact

Recognitions that highlight real-world results.

SIH'25 Finalist

Smart India Hackathon 2025 - Problem Statement PS-25189.

Kaggle Rank 196

Top ~1.7% among 11,450 participants in Kaggle Playground Series S5E11.

HackCrux Runner-up

2nd place in national-level hackathon organized by LNMIIT Jaipur.

350+ DSA Problems

Solved across platforms and earned the GFG160 badge.

Role Fit Check

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Contact Me

Let's connect

Have a project in mind or want to discuss opportunities? I’d love to hear from you.

I’m open to software engineering, data science, and ML engineering roles — and new collaborations.

aditya.pratap.singh.tomar.1082006@email.com+91-78982-92920Gwalior, Madhya Pradesh, India