Shlok Bam
AI / Generative AI Engineer
shlokbam19103@gmail.com | +91-7974670370 | Pune, India | github.com/shlokbam | linkedin.com/in/shlokbam | shlokbam.in
SUMMARY
AI/Generative AI engineer with hands-on experience shipping agentic and LLM-powered systems to production, from multi-agent pipelines to LLM-as-judge evaluation frameworks alongside full-stack (React/FastAPI) and DevOps (Docker/Terraform) delivery. Currently interning at PharmaACE on healthcare data and agentic AI pipelines.
EXPERIENCE
Intern at PharmaACE Innovations
(June 2026 – Present)- Engineered an NPI matching pilot (Python, Streamlit, Snowpark, rapidfuzz) for a Fortune 500 pharma client; auto-accepted 94% (163 of 174) of a real test batch and sent 11 records for review or rejection.
- Developed a News Monitor pilot (Python, FastAPI, React, Playwright) tracking 1,200+ pharma newsrooms on a 30-minute schedule with a no-LLM scan and a GPT-4o-mini source-validation judge.
- Currently building a Forecast Reporting Agent (Python, FastAPI, LLMs) that converts natural-language questions into SQL with execution-based validation, LLM self-correction, and chart recommendations.
LEADERSHIP & ACTIVITIES
Chairperson at Information Technology Student’s Association (ITSA), VIT Pune
(July 2025 – June 2026)- Led a 50+ member student team as Chairperson; organized a department-wide AI workshop (500+ attendees), mock GD/PIs and an INR 1 lakh-budget event; built a QR attendance system used at an event with 750+ attendees.
PROJECTS
Enterprise Workforce Training Platform
(Project Completion Letter | GitHub | Blog)- Developed a cross-platform LMS with role-based dashboards for trainers and trainees (module creation, scheduling, assessments, progress tracking), delivered as a containerized React web app (Docker Compose).
- Provisioned cloud storage with Terraform, secured routes with JWT/bcrypt, added server-side PDF/video watermarking per trainee, and configured a Jenkins CI/CD pipeline.
- Technologies: Python, FastAPI, SQLAlchemy, MySQL, ReactJS, React Native, Docker, Terraform, AWS S3, Jenkins
- Built DailyDiff (dailydiff.in), a live LangGraph pipeline over 7 sources that emails a fact-checked brief 3x/week (185 briefs, 42 editions); cut LLM calls from up to 22 to 4, added a fail-closed publish gate.
- Per-agent evals, 3 runs (25 golden cases): Skeptic rejected 6-7/7 noise items (3/7 pre-fix), Verifier caught 14-15/16 bad items, Analyst matched 13-14/15 verdicts, Editor 5/5 briefs passed structure checks.
- Technologies: Python, LangGraph, LangChain, FastAPI, Mistral AI, Gemini, PostgreSQL (Neon), React, Vite, GitHub Actions, Brevo API
SKILLS
- Languages: Python, SQL, JavaScript
- GenAI Frameworks: LangChain, LangGraph, Hugging Face, MCP
- GenAI Techniques: RAG, Multi-Agent Systems, Tool/Function Calling, Prompt Engineering
- LLM Evaluation & Safety: LLM-as-Judge, Golden-Dataset Evaluation, DeepEval, GEval, Guardrails, LangSmith
- Machine Learning: Deep Learning, NLP, Transformers, Embeddings
- Web Development: FastAPI, Pydantic, REST APIs, React
- Databases: PostgreSQL, MySQL, Chroma (Vector DB)
- Cloud & DevOps: AWS, Docker, Terraform, Jenkins, GitHub Actions, Git
- Core CS: DSA, OOP, DBMS, OS
EDUCATION
B.Tech, Information Technology at Vishwakarma Institute of Technology, Pune, India
(Sept 2023 – May 2027)- CGPA: 9.01/10
ACADEMIC & EXTRACURRICULAR ACHIEVEMENTS
- Winner, INDOvateAI Sprint 2025: Best Outstanding Project among 200+ teams.