Rajesh Ahire
Data Scientist @IBM | EX-Capgemini | Agentic AI | NLP & Gen AI | 3.8+ Years | MTech (AI&DSE) IIT Patna
- Role
- Data Scientist at IBM
- Location
- Pune District, MH, IN
- LinkedIn followers
- 500 followers
About Rajesh Ahire
I\'m a Data Scientist and GenAI Engineer with 4 years of experience building intelligent…
Experience
Data Scientist
Jul 2025 — Present · Pune, IN
Built agentic AI workflows (planner–executor–reflector loop) using GPT-4o via Azure OpenAI, Meta Llama (Bedrock & self-hosted), and Anthropic Claude v4 (Opus/Sonnet via AWS Bedrock) to automate document intelligence, knowledge retrieval, and action execution across enterprise tools.Designed tool-integrated agents with secure function calling (Python) to perform RAG, database lookups (MongoDB), vector search, and API operations; implemented guardrails, prompt orchestration, and prompt caching to reduce latency and token cost.Deployed multi-model pipelines on AWS Bedrock (Llama, Claude v4, Titan) and Azure OpenAI (GPT-4o) with model routing/fallback, capturing quality metrics and cost per request for continuous optimization.Leveraged the Builder Platform to rapidly prototype POCs, enable self-serve AI solutions, and operationalize specialized services like Contract.AI for document review, clause extraction, and compliance validation.Implemented retrieval-augmented generation (RAG) with chunking, hybrid search, and metadata filters; improved answer accuracy and reduced hallucination via grounding, citations, and confidence scoring.Created DocuFlow-style document extraction flows (PDF/Scans/Email) using vision-language models; added field validation via LLM “critique & correct” loops and regex/DSL validators.Productionized GenAI services with Docker/Kubernetes, CI/CD, feature flags, observability (OpenTelemetry, Prometheus, Kibana), and PII redaction + policy compliance (data minimization, encryption in transit/at rest).Built evaluation harness (gold sets, BLEU/ROUGE, faithfulness, factuality checks, human-in-the-loop) and A/B testing for prompts, tools, and models; reduced cost/TAT while increasing pass rates on workflows.Partnered with architects to define LLM safety & governance: content filters, jailbreak protection, rate limiting, abuse monitoring, and audit trails; documented runbooks and playbooks for L2/L3 support.
Education
Sinhgad Institute of Technology & Science
Bachelor of Engineering - BE
2018 — 2021
Indian Institute of Technology, Patna
Master of Technology - MTech
2023 — 2025
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