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RJ

Rakesh Jena

Open to work0 years experience

AI Engineer and Data Scientist

RemoteTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

AI Engineer and Data Scientist specializing in ML, NLP, and Generative AI.

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

43 skills
pythonscikit-learnxgboosttensorflowpytorchpandasnumpyedafeature engineeringdeep learningnlplangchainlanggraphcrewaiautogenhuggingface transformersfaisspineconerag pipelineslora fine-tuningopenai apigoogle gemini apivertex ailangsmithprompt engineeringmlflowdvcdockerbentomlfastapiflaskstreamlitci/cd pipelinesgithub actionssqljavascriptjavachtml/cssgithubvs codejupyterpostman

Work Experience

Technical Program Executive

Magenta Mobility Private Limited

Nov 2025 - Jan 2026 India
  • Translated complex business requirements into structured technical specifications, applying systems-thinking to define data flows, edge cases, and integration logic across EV fleet management features; reduced requirement ambiguity by 40% across 3 product releases.
  • Analysed QA metrics, user feedback, and defect patterns using data-driven methods to surface root-cause issues; drove prioritisation decisions that reduced post-deployment incidents by 30% across release cycles.
  • Led cross-functional teams through UAT and deployment phases, defining test scenarios and acceptance criteria ensuring alignment between product intent and technical output across 5+ feature rollouts.

Product Intern

Lectrix EV Private Limited

Oct 2023 - Dec 2023 India
  • Developed and shipped front-end features using Remix.js; applied SEO data analysis and keyword research to optimise content strategy, improving organic discoverability of EV product pages by 25%.
  • Gathered and synthesised insights from 10+ stakeholders to draft a BRD, translating unstructured field data into actionable product requirements for a new dealer-facing application.

Projects

End-to-End ML Pipeline with MLOps

PythonScikit-learnXGBoostMLflowDVCFastAPIDockerCI/CD
  • Built a production-grade ML pipeline covering EDA, feature engineering, model training (Scikit-learn, XGBoost), and hyperparameter tuning; tracked experiments and registered models using MLflow, achieving 92% prediction accuracy.
  • Deployed model as a REST API using FastAPI, containerised with Docker, and automated retraining using DVC and GitHub Actions CI/CD, reducing deployment time by 60%.

NLP Text Classifier

PythonHuggingFace TransformersPyTorchFastAPIDockerMLflow
  • Fine-tuned a BERT-based HuggingFace Transformer model for multi-class text classification and sentiment analysis; achieved 94% F1-score using PyTorch with LoRA fine-tuning on domain-specific data.
  • Exposed model via a FastAPI endpoint, containerised with Docker, and tracked all experiments using MLflow; reduced inference latency by 40% through model quantisation and batching.

CareBot: AI-Powered Health Assistant

PythonLangChainOpenAI APIFAISSGoogle Gemini APIStreamlit
  • Built a RAG-based conversational AI system using LangChain and FAISS vector search; integrated OpenAI GPT and Google Gemini APIs with an agentic retrieval workflow, improving domain-specific answer relevance by 60%.
  • Engineered a scalable document ingestion and chunking pipeline supporting 1000+ medical documents; deployed via Streamlit with Google Drive-backed model persistence for zero-downtime availability.

Training Data Bot: LLM Data Curation System

PythonAsyncIOOpenAI APIHuggingFaceDecodoJSONL
  • Architected an end-to-end LLM training data pipeline processing PDFs, web pages, and text; automated QA, summarisation, and classification using HuggingFace model pipelines, generating 10,000+ validated training samples.
  • Applied BLEU/ROUGE evaluation metrics for data quality control and LoRA fine-tuning readiness; exported structured JSONL datasets, reducing manual curation effort by 90%.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

Achievements Not Earned

Special rewards, developer badges, system recognition certificates, and conceptual milestones will display here.

About Details

Professional Bio

AI Engineer and Data Scientist with hands-on experience in machine learning, deep learning, NLP, and generative AI. Proficient in building end-to-end ML pipelines, RAG systems, and multi-agent LLM applications. Passionate about delivering production-ready AI solutions.

B.Tech in Electronics and Communication Engineering in Electronics and Communication Engineering

Vellore Institute of Technology (2021 - 2025)

XII (AISSCE) in N/A

ODM Public School ( - 2020)

Languages: English, Hindi
Email: Locked