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AI Solutions Resume · Recruiter version

Shashank Raju Rallabandi

Applied AI & ML · Product Implementation

Profile

Applied AI and product builder with freelance experience in task agents, ML sensor analytics, MSME automation and custom CRMs. Strengths in understanding requirements, solution design and implementation. Industrial GenAI/ML internship experience at Tata Technologies; currently building BricDesk and independent NLP implementations with measured evaluations.

Experience

Freelance — AI Solutions & Application Development

Ongoing
  • Built task-focused AI agents and workflow automation for MSMEs, integrating paid OpenAI and Google Gemini services with business tools.
  • Built organization-specific CRMs, client websites and applications around stakeholder requirements and operational workflows.
  • Built a residential solar configuration app connecting property dimensions and electricity needs with panel options, visual layouts and estimated costs.
  • Contributed to sensor calibration and anomaly detection for confidential plastic bottle-cap and Pune automobile-parts manufacturing clients.

Client identities remain confidential. Freelance scope and contributions

Tata Technologies — GenAI / Machine Learning Intern

6 months
  • Collaborated on applied AI workflows for industrial and enterprise use cases, including anomaly detection and internal automation concepts.
  • Explored NLP and multilingual workflows for structured enterprise data and operational processes.
  • Developed an understanding of model behaviour, reliability, operational fit and deployment constraints.

Selected Product & Portfolio Work

BricDesk — Independent Product Development

  • Building a real estate operations product connecting inventory, lead/channel partner ownership, holds, approvals and founder visibility.
  • Work across workflow discovery, Flutter application development, Supabase-backed data flows and responsive web experiences, with explicit role and project context.

NLP Studies — Independent Public-Data Implementations

  • Trained a support-request classifier and evaluated it on 3,080 held-out public messages (88.02% accuracy), retaining errors and a validation-selected review policy.
  • Compared keyword, sentence-embedding and hybrid search over 5,183 public abstracts and 300 judged queries, documenting retrieval quality and failure cases.

Classification study · Retrieval study

Industrial AI — Public Portfolio Demonstration

  • Built an AI assistant that compares machine readings, shows its sources and drafts an investigation note for human review.
  • Trained a model to recognise leakage patterns in public machine data; checked 552 recordings set aside for testing and documented 15 missed cases.

Independent implementation using local Qwen and public test-rig data. Implementation, evaluation and limits

Interactive Applications — Portfolio Rebuilds & Tools

Built 3D solar configuration for houses, offices and apartments, plus independent tools for supplier comparison, shift planning and documentation handovers.

Explore the applications

Skills

AI & integration: OpenAI and Google Gemini API integration, Microsoft-provided enterprise AI services, model tool calling, grounded retrieval, ML evaluation, anomaly detection.

Implementation: Python, SQL, TypeScript, REST APIs, FastAPI, Next.js, React, Flutter, Supabase.

Portfolio tooling: scikit-learn, TF-IDF, sentence embeddings, ONNX Runtime, LangChain, Ollama, NumPy, Three.js. Product: requirements discovery, workflow design, prototyping and stakeholder collaboration.

Cloud exposure: Introductory familiarity with AWS and Microsoft Azure.

Education

B.Tech — Computer Science Engineering

MIT World Peace University (MIT-WPU), Pune