Shivam Bharti
@shivambharti1
I build ML systems that ship — medical AI, generative pipelines, NLP search. Python · Flask · LLMs · IEEE published. Remote worldwide.
What I'm looking for
I build AI systems end-to-end — from raw data to deployed API.
Most recently: a 723-class medical disease classifier running on 246,000 rows of clinical data, deployed as a live Flask REST API at 85.52% accuracy. Before that: a generative AI video pipeline that replaced a manual workflow entirely, cutting production time by 90%. And an NLP semantic search tool that reduced research retrieval time by 40%.
My research has been peer-reviewed and published 4 times through IEEE — including work on cancer staging ML models that has since been cited 11 times by other researchers. That tells you something about the standard I hold my work to.I work independently, document as I go, and am comfortable in async remote teams across timezones.
Stack: Python · TensorFlow · PyTorch · XGBoost ·
Flask · RAG · LLM Prompt Engineering · NLP · AWS · Scikit-learn · Pandas
Open to remote roles in ML engineering, AI research engineering, or backend Python development.
Experience
Work history, roles, and key accomplishments
Software Development Intern
Technogener Solutions
Jun 2025 - Aug 2025 (2 months)
Designed and implemented ML data pipelines (cleaning, encoding, normalization) independently with zero supervision on an async remote team. Resolved feature multicollinearity and improved model performance by 18% on a held-out validation set, delivering structured, auditable components under strict quality guidelines.
Education
Degrees, certifications, and relevant coursework
Kalinga Institute of Industrial Technology
Bachelor of Computer Science & Engineering, Computer Science & Engineering
2022 -
Grade: CGPA: 8.01 / 10
Activities and societies: Conducted IEEE-published research in machine learning and medical AI; developed ML systems and deployed API-based inference services.
Bachelor of Computer Science & Engineering with a minor in Financial Economics; expected graduation April 2026, CGPA 8.01/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
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