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ML Engineer with 2+ years in PySpark, Snowflake & Cloud ML Pipelines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ML Engineer with nearly 2 years of experience building production ML pipelines on PySpark, Snowflake, and cloud data platforms. Delivered classification, clustering, and recommendation models across insurance, healthcare, and media – including a provider-network recommender with $20M+ in projected savings.
SRM University
B.Tech · Computer Science Engineering
August 1, 2021 – June 30, 2025
ValueLabs
Applied Machine Learning Engineer
April 1, 2024 – Present
Hyderābād, Telangana, India
ValueLabs
AI Engineer Intern
January 1, 2024 – December 31, 2025
India
DMA – Data Migration Agent
January 1, 2025 – June 1, 2026
Multi-agent system using LangChain, GPT-4, and RAG to automate schema mapping and migration validation, achieving 78% accuracy across heterogeneous schemas.
View ProjectLexiGender
January 1, 2025 – June 1, 2026
Author gender classification using Logistic Regression, SVM, and RNN over TF-IDF and linguistic features, reaching 70% precision.
View ProjectRunner-Up – IEEE BPIT National Datathon
IEEE BPIT National Datathon
June 1, 2026 – Present
Amazon ML Summer School graduate
Amazon
June 1, 2026 – Present
National Champion – HACKSRM 5.0
HACKSRM
June 1, 2026 – Present
Winner - STPI National Hackathon
STPI National Hackathon
June 1, 2026 – Present
Beyond Textual Analysis: CSAT Prediction with Speech & Text Emotion Features.
IEEE CVMI
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's participation in multiple hackathons and datathons, along with contributions to ML/GenAI workshops, demonstrates a proactive and collaborative spirit. The diversity of projects (insurance, healthcare, media, NLP, multi-agent systems) indicates adaptability and a broad interest in applying ML across different domains. This aligns well with a dynamic, innovation-driven culture. The current role as an Applied Machine Learning Engineer and the target role of ML Engineer show strong alignment.
Soft Skills & Operational Fit
The candidate's resume indicates strong problem-solving skills through hackathon wins and project descriptions. Their experience in building production-ready systems suggests an operational mindset. The descriptions are clear and quantify impact, implying good communication of technical results. However, without direct interaction or psychometric test results, a deeper assessment of stress handling, teamwork, and direct communication clarity is not possible.