Shubham Sarkar — Machine Learning Engineer

01.

About

I'm Shubham Sarkar, a detail-oriented Machine Learning Engineer passionate about leveraging AI/ML technologies. With a strong foundation in full-stack development and data analysis, I thrive on collaborating with teams to deliver innovative solutions and enhance operational efficiency.

02.

Experience

Jan 2026 – Present

Machine Learning Engineer · Alignerr

Remote

Evaluated AI agent code fixes across 100+ GitHub repositories to assess frontier LLM performance using a comprehensive 15-metric rubric focused on correctness, reasoning, and code quality.
Identified recurring failure patterns, including hallucinations and incomplete task execution, contributing to a 20% enhancement in model accuracy.
Annotated and analyzed over 100 airline pilot speech data rows, pinpointing aviation-specific terminology and action words to enrich the quality of training data for speech AI models.

June 2026 – July 2026

Engineering Trainee · Berger Paints

Kolkata, India

Gained hands-on exposure to the end-to-end paint manufacturing process, including production planning, raw material handling, process optimization, and quality control practices.
Acquired practical knowledge of procurement, inventory management, and warehouse management systems (WMS), encompassing material sourcing, stock control, and supply chain operations.
Analyzed manufacturing and supply chain operations by observing chemical processes, documenting key operational insights, and preparing a detailed technical report with process flow analysis and recommendations.

03.

Selected work

TailorCVCheck out

Python, FastAPI, LLM, Javascript, PostgreSQL

Co-developed and scaled an AI resume-optimization platform to over 16,000 users across 30+ countries, managing the full stack in Python/FastAPI on Neon PostgreSQL, including ATS scoring, resume tailoring, portfolio hosting, cover letters, and AI mock interviews.
Engineered the core ATS scoring and resume-tailoring engine, implementing a deterministic 100-point audit across 22 weighted checks, ensuring factual accuracy and PDF link-annotation recovery that preserves all project, GitHub, and certification URLs across 22 ATS-safe templates.
Integrated dual payment systems to accommodate a global user base, utilizing Razorpay for domestic transactions and Polar for international payments, alongside usage quotas, plan gating, and subscription lifecycle management.
Developed a Chrome extension that tailors resumes directly on job postings across 15 job boards (LinkedIn, Indeed, Naukri, Greenhouse, Lever, Workday), reducing per-application tailoring time from approximately 10 minutes to under 60 seconds; automated end-to-end testing with Playwright.
Instrumented the platform for reliability and growth with Sentry error monitoring, GA4 + PostHog analytics, transactional email over SMTP, and one-click portfolio publishing to Netlify.

PythonFastAPILLMJavascriptPostgreSQL

Live Demo GitHub

YouTube Sentiment AnalysisCheck out

TensorFlow, NLP, AWS EC2, Scikit-learn

Developed an end-to-end YouTube sentiment analysis pipeline processing over 10,000 user comments, enhancing sentiment classification performance through advanced NLP preprocessing techniques.
Tracked five model experiments using MLflow and DVC, enabling reproducible training and systematic comparison of models built with scikit-learn and NLP libraries.
Deployed the pipeline on AWS using Docker and exposed predictions via Flask REST APIs, facilitating scalable and reproducible inference.

TensorFlowNLPAWS EC2Scikit-learn

Live Demo GitHub

Marketing AnalyticsCheck out

Python, SQL, PowerBI, Data Visualization

Retrieved and consolidated marketing data from various sources, including CSV files and SQL databases, ensuring data consistency and accuracy.
Conducted comprehensive data analysis and sentiment analysis using Python to uncover customer opinions, engagement trends, and campaign effectiveness.
Designed and developed an interactive Power BI dashboard to visualize key performance indicators, enabling data-driven marketing decisions and actionable business insights.

PythonSQLPowerBIData Visualization

GitHub

04.

Skills & tools

Languages: SQLPythonJavaScriptHTMLCSSAI/ML: Machine LearningDeep LearningGenerative AILLMNatural Language ProcessingFrameworks/Libraries: TensorFlowPyTorchscikit-learnMatplotlibPandasNumPyLangchainFlaskFastAPIStreamlitDatabases: PostgreSQLVector DatabasesTools & Platforms: MLflowPower BIExcelGitCloud & DevOps: Amazon Web ServicesDockerCI/CDLinux

05.

Education

Jadavpur University

Bachelor of Technology

Nov 2023 – Dec 2027 · CGPA: 7

Hariyana Vidya Mandir

Higher Secondary

Apr 2020 – Apr 2022 · Percentage: 90%

06.

Leadership & activities

May 2024 – Jan 2026

Core Member · Entrepreneurship Cell, Jadavpur University

Co-organized national entrepreneurship events E-Summit 2025 and Hult Prize 2025, engaging over 5,000 registrants and 1,000+ participants.
Conducted structured evaluations of 50+ startup pitch decks, analyzing business models, market potential, and execution strategies to support winner selection.

June 2024 – Jan 2026

Core Member · FinClub, Jadavpur University

Organized workshops on investment, financial planning, and market fundamentals for 100+ students, fostering data-driven financial decision-making.
Designed and evaluated analytical problem sets for finance competitions during college technical fests, engaging over 50 participants and promoting quantitative reasoning.

07.

Certifications

Leetcode SQL 50

Leetcode · 2025

Internship Training Certificate

Berger Paints Rishra · 2026

08.

Get in touch

Have a role or a project in mind? I'd love to hear from you.

shubhamsarkarthe1@gmail.com 8240044652