Abhishek Tiwari
Why they fit
- Problem -> Change -> Business/Operational Result 20%
The CV provides concrete examples linking the candidate's interventions to substantial quantified business results, notably delivering INR 5 crores/year savings by revamping the pricing AI tech stack and INR 60 crores/year via cloud migration.
Where they fall short
- Independent Decision Ownership −24 pts
The CV lists product ownership and program management responsibilities ('Worked with CXOs', 'Product owner for AI-based Proximity unlock feature'), but provides no explicit examples of independent decision-making under uncertainty, the trade-offs evaluated, or autonomous calls made without senior escalation.
- Evidence-Led Prioritisation and Reversal −16 pts
The CV references tracking metrics and conducting model evaluations/feedback, but there is no evidence of prioritisation decisions or any instances where evidence led to the reversal or material alteration of an earlier direction.
- Multi-Party Resolution Under Pressure −12 pts
The CV mentions cross-functional coordination and leading teams across programs, but lacks concrete evidence of driving resolutions under pressure, handling incidents or failures, or managing stakeholder conflict.
| Criterion | Weight | Score | Weighted | AI reasoning | Evidence from CV |
|---|---|---|---|---|---|
| Problem -> Change -> Result | 25% | 2/5 | 10.0/25 | The candidate reports driving actions that delivered measurable cost savings (such as cloud migration and revamping the pricing tech stack). However, the initial friction or problem noticed is not described, making the problem-to-change link partial. |
|
| Evidence-Led Decisions | 20% | 1/5 | 4.0/20 | While the CV mentions tracking KPIs and conducting model evaluations, it does not demonstrate any decisions that were altered, halted, or prioritized based on evidence or operational data. |
|
| Builds Repeatable Ways of Working | 20% | 2/5 | 8.0/20 | The candidate created frameworks and platforms such as KPI metrics for design efficiency and a data curation platform. However, the CV does not show evidence of ongoing adoption or reuse by other teams as a standard operating method. |
|
| Carries Ambiguous Problems Through to Closure | 20% | 1/5 | 4.0/20 | The candidate managed large-scale technical migrations and cross-functional teams, showing high scope. However, there is no detailed example of navigating a messy issue, handling an escalation, or executing follow-up after an immediate fix. |
|
| Gets to the Source Before Designing the Fix | 15% | 0/5 | 0.0/15 | The CV contains no evidence of directly observing, interviewing, or working alongside users or customers experiencing a problem before designing a solution. | Evidence not present in the CV. |
| Total | 100% | 26 | The candidate demonstrates strong technical program delivery, team leadership, and high-impact cost savings across AI and infrastructure initiatives. However, the CV offers little to no evidence of direct user research, evidence-led decision pivots, or structured problem-to-outcome narratives required by this rubric. | ||
Scoring scale
- 0: No evidence in the CV
- 1: Indirect or participation-only evidence
- 2: Partial: some elements of the description, weak link to outcome
- 3: One clear example matching the description
- 4: Clear example with a visible result, candidate's own action linked to it
- 5: Repeated, strong examples fully matching the description, with results
Weighted contribution = score ÷ 5 × weight. Every quote is checked against the CV text; if none can be verified, the score is capped at 1.
Evidence
- “Product owner for AI-based Proximity unlock feature for Ola electric scooter” · Independent Decision Ownership
- “Worked with CXOs on AI programs across verticals – Cabs, Financial Services, Electric and Krutrim” · Independent Decision Ownership
- “Realised cost savings worth 5 crores/year by revamping pricing AI tech stack of Ola cabs” · Problem -> Change -> Business/Operational Result
- “Led cloud migration program (cost saving: INR 60 crores/year) for Ola cabs (AWS to in-house cloud)” · Problem -> Change -> Business/Operational Result
- “Achieved cost savings worth INR 100 crores+ by improving design efficiency and value engg” · Problem -> Change -> Business/Operational Result
- “Led 11-member model evaluation team for Krutrim LLM evaluations, analysis and feedback” · Evidence-Led Prioritisation and Reversal
- “Developed Tech KPI monitoring platform for tracking insurance issuance journey funnel” · Evidence-Led Prioritisation and Reversal
- “Conceptualised data curation platform (Product Management) for LLM fine-tuning data requirement” · Creates Systems Others Run
- “Built and managed a 30-member data ops team consisting of language experts and project managers, developed and managed vendors for data curation” · Creates Systems Others Run
- “Developed KPI metrics for evaluating design efficiency and providing design improvement feedback” · Creates Systems Others Run
- “Co-ordination of cross-functional teams for environmental clearance and construction contract award” · Multi-Party Resolution Under Pressure
- Realised cost savings worth 5 crores/year by revamping pricing AI tech stack of Ola cabs
- Led cloud migration program saving INR 60 crores/year for Ola cabs (AWS to in-house cloud)
- Delivered first AI feature (AI-based Proximity unlock) for Ola Electric scooter
- Revamped pre-sales customer support by implementing AI customer support agent for Ola Electric
- Achieved cost savings worth INR 100 crores+ at Piramal Realty by improving design efficiency and value engineering
- Delivered cost savings worth INR 9 crores at Ashok Leyland by developing new indigenized de-aeration tanks
Anonymised CV (exactly what the AI saw)
EDUCATION IIM Ahmedabad Post Graduate Diploma in Management (MBA) 3.28/4.33 2015 IIT Kharagpur B.Tech + M.Tech (Mechanical Engineering) 8.12/10 2011 WORK EXPERIENCE ~ 13 Years Ola, Bangalore AI Program Manager (Ola Cabs, Ola Electric, Ola Krutrim) 2022 – Present Role Description ▪ Worked with CXOs on AI programs across verticals – Cabs, Financial Services, Electric and Krutrim ▪ Program lead for agentic AI customer support chatbot for Ola Cabs and Ola Electric ▪ Model evaluation lead for foundational LLM and all AI components of Krutrim chat app ▪ Product owner for AI-based Proximity unlock feature for Ola electric scooter ▪ AI Data Ops lead – pre-training and fine-tuning data collection for Krutrim LLM ▪ Data Ops Program lead for ASR-TTS for English-to-Indic video live streaming Achievements ▪ Revamped pre-sales customer support by implementing AI customer support agent for Ola Electric ▪ Led 11-member model evaluation team for Krutrim LLM evaluations, analysis and feedback ▪ Delivered first AI feature for Ola Electric scooter, also led data collection and testing ▪ Conceptualised data curation platform (Product Management) for LLM fine-tuning data requirement ▪ Built and managed a 30-member data ops team consisting of language experts and project managers, developed and managed vendors for data curation ▪ Led 3-member engineering team for Krutrim model pre-training data collection ▪ Realised cost savings worth 5 crores/year by revamping pricing AI tech stack of Ola cabs ▪ Led cloud migration program (cost saving: INR 60 crores/year) for Ola cabs (AWS to in-house cloud) Bajaj Finance, Pune Senior Lead (Product), Insurance 2021 –2022 Role Description ▪ Led a 5-member team for new insurance product integrations with Bajaj ecosystem ▪ Developed Tech KPI monitoring platform for tracking insurance issuance journey funnel Piramal Realty, Mumbai Chief Manager, Cost Planning & Control 2015 – 2020 Role Description ▪ Worked with Chief Business Officer on project costs, design, contracts and government approvals ▪ Annual Operating Plans and MIS preparation for project costs, ensuring adherence to budget ▪ Identifying and implementing cost saving measures, focusing on design efficiencies and procurement ▪ Co-ordination of cross-functional teams for environmental clearance and construction contract award Achievements ▪ Achieved cost savings worth INR 100 crores+ by improving design efficiency and value engg ▪ Developed KPI metrics for evaluating design efficiency and providing design improvement feedback ▪ Among 4% out of 1500 employees selected for leadership development program of Piramal Group Ashok Leyland, Chennai Deputy Manager, Product Development 2011 - 2013 Role ▪ Designed Engine Cooling Systems for Commercial Vehicles for Indian and Global markets Achievements ▪ Delivered cost savings worth INR 9 crores by developing new indigenized de-aeration tanks PERSONAL AI PROJECTS ▪ Built an LLM based book expert AI assistant for multi-turn conversations with users based on book pdfs ▪ Automated testing of LLMs for factual question test sets and translation use cases Phone - | Email: [CANDIDATE] TIWARIAbhishek [CANDIDATE] [EMAIL REDACTED]+91 94471 8302594471 83025
Interview brief
Briefs are written when you shortlist a candidate.
Email draft
An offer or rejection draft is prepared once you make a decision. Nothing is ever sent without your approval.
Audit trail (3)
- 9/29/2026, 11:36:45 AMsystemanalysis completed{"PM_score":26,"SPM_score":35}
- 9/29/2026, 11:36:45 AMsystemrole assigned best fit{"role":"SPM","PM_score":26,"SPM_score":35}
- 9/29/2026, 11:29:35 AMsystemcv ingested{"file":"27_abhishek_tiwari.pdf","role":"AUTO","redactions":{"name":2,"email":1},"name_detected":true}